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15 Top Online MOOC Course Providers in 2018

Welcome to the era of massive open online courses (MOOC). MOOC is being seen as the next big wave in education. Although some or another form of distance learning meant for the masses has existed from about a century through mediums such as the radio; the advent of the internet has changed the game.

The term MOOC was coined in around 2008, and the concept has gained widespread acceptability since then. Today, most universities that are well-known around the globe have this learning platform as part of their teaching methods. The popularity of this mode of knowledge dissemination can be attributed, naturally, to the usual advantages that distance education offers: ease of access, flexibility, and cost-effectiveness.

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In the decade or so since MOOC acquired shape and has gained popularity; many universities, institutions and individual players have jumped on the bandwagon to offer MOOC. There are many variants of these courses, with some of them being certified courses, some coming with credits, and others with affiliations to organizations. All these varieties go on to make MOOC a medium that has gained universal acceptance today.

Are you on the lookout for an MOOC to enhance your career or grow in other ways in your profession? We have put together a list of 15 well-known MOOC providers that is culled from a list of dozens of such providers. Our aim is to help you understand the nature of these providers, so that you can zero in on the one that fits your requirements better:

Lynda.com (https://www.lynda.com)

Lynda.com is an online learning platform that specializes in teaching areas such as software, technology, business, and creative skills. It offers subscription patterns such as individual, corporate, academic and government.

Khan Academy (https://www.khanacademy.org)

Khan Academy is a non-profit educational organization that offers teaching in math, physics, history, computer programming and many other courses that students can take and finish at their own pace. NASA, Museum of Modern Art and MIT are some of the prestigious institutions that Khan Academy has partnered with.

Udemy (https://www.udemy.com)

Udemy is a massive online learning platform in every sense of the term, offering no fewer than a whopping 55,000 courses of various shapes and sizes. It has courses for students as well as professionals.

Coursera (https://www.coursera.org)

Coursera is a venture-backed, education-focused technology company that offers courses in any subject ranging from Python programming to soft skills. Its courses are proved between $29 and $599, and some of them come with certifications.

Pluralsight (https://www.pluralsight.com)

Pluralsight is designed to offer training courses to professionals and businesses and help them gain more from their workforce talent through its 6000+ course that are taught by over 5000 mentors.

Codecademy (https://www.codecademy.com)

Codecademy concentrates mainly on teaching coding, with emphasis on practical, than on rote, learning. It claims to have a learner base of over 45 million.

edX (https://www.edx.org)

With emphasis on research and an intention to increase access to education for people either in the online or campus mediums; edX has research on topics as one of its USPs.

Udacity (https://www.udacity.com)

Udacity believes that education does not end during a lifetime, because of which it has designed higher education courses that are affordable, accessible and engaging.

Dataquest (https://www.dataquest.io/)

Dataquest concentrates on data science. Its unique methodology tunes learners into thinking like a data scientist to help overcome challenges associated with coding and other areas.

Simpliv (https://www.simpliv.com)

Simpliv is a massive platform for learning and teaching online courses on all areas of knowledge from technical to soft skills to yoga to painting. It moves away from pedagogic lecturing methods and brings in lively and practical sessions.

ServiceSkills.com (https://www.serviceskills.com)

As the name suggests, ServiceSkills provides online trainings on how people in retail and other sectors, who interact with customers and other people, can sharpen their communication skills with customers and coworkers.

Code School (https://www.codeschool.com)

Code School, as the name indicates, is a provider of lively online trainings for coding professionals and learners.

Treehouse (https://teamtreehouse.com)

Treehouse offers affordable technical learning that students can take and complete at their own pace.

FutureLearn (https://www.futurelearn.com)

FutureLearn is a provider of diverse online courses that are selected from leading institutions and learning centers from around the world.

yale.edu (https://www.yale.edu)

With a rich history dating to 1701, Yale is a prestigious university that offers distance learning through its online division called Open Yale Courses, where a full range of arts, social sciences, humanities and other courses are offered through the MOOC medium.

Learn Python Programming Fundamentals: A Beginner’s Guide [Updated 2020]

Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the present IT industry.

According to TIOBE index, as of January 2020, Python is one of the popular programming languages. By looking at the popularity of this programming language, many IT professionals, both beginners as well as experienced alike, are willing to build their career as a Python developer.

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Many people have daunting questions like:

  • How one can start to learn Python?
  • What are the fundamental concepts you need to know to learn Python?

With an aim to help similar concerns, Simpliv is presenting this blog to discuss about the various fundamental concepts of Python programming and take you along to start writing Python programs on your own.

Before proceeding further, at this point, we would like to suggest that you read blog (first blog in this series) on introduction to Python programming language.

Learn Fundamental Of Python Programming

Without further ado, let us quickly look at the topics we will be covering in this blog:

  • How to install Python
  • Basic syntax
  • Python identifiers
  • Python reserved words
  • Indentation
  • Quotations in Python
  • Comments in Python
  • Using Blank lines
  • Constructs
  • Python Variables
  • Python Data Types.

Let us look at the 8 Steps to install Python

Let us start by learning the steps to install Python. The following are the steps need to be followed while installing Python on Windows:

Read more

PYTHON: An Ultimate Resource To Learn Python Programming Easy Way In 2020

For anyone serious about pursuing and growing in a career in IT, a basic question that roils the mind is this: which is the best programming language to learn? Most people who want answers to this question tend to get slightly confused, because they would have heard about multiple languages, such as JavaPythonPHP, etc. It is in selecting that one truly apt programming language to learn that the challenge lies.

Even learners who are fully aware of the benefits of most programming languages are in a fix about choosing the one language they should learn, and also about the best ways to learn a programming language.

It is very important for the students to make the right choice from the start as it will take a lot of time and effort to master any given programming language. While selecting any programming language to learn, students need to consider few aspects such as:

  • The difficulty level of a programming language you are willing to learn
  • The skills you already know that align with a programming language
  • Reasons you want to learn a programming language.

Every programming language has its advantages as well as disadvantages. A language that is perfectly suited for developing a certain types of applications  might not fit for developing other types.

So, keeping the debate aside of which programming language is good to learn among all, here in the following discussion we will focus towards understanding what is Python programming language and what are its benefits. At a later stage of this blog, we will discuss different reasons to learn Python.

In the upcoming discussion we will focus on the following topics:

  • What is Python?
  • Python 2 VS Python 3
  • History of Python
  • Features of Python
  • Reasons to learn Python in 2020
  • Advantages of Python
  • Applications of Python.

Initially, let us discuss what is Python

What is Python? This is one of the most asked questions  these days in the technology space. The answer is, Python is one of the powerful programming languages that is high-level, open-source, and most commonly used for web development, scientific and mathematical application development, etc.

One of the great advantages of this programming language is it provides excellent library support and has a large developer community. It also provides easy integration with web services and GUI-based desktop applications.

“Did You Know? Python is one of the 9 programming languages that influenced the design of JavaScript”.

Python is fast, easy-to-use and the most preferred programming language for developing projects by many companies such as YouTube, Instagram, Pinterest, and Quora, etc. Because of its excellent features, Python is considered an easy to learn programming language for beginners and is also sophisticated enough for experienced professionals to use.

Apart from web development and desktop app development, Python is extensively used in the Data Science field and is used for developing Machine Learning projects. Because of its huge popularity, many IT professionals are learning this programming language to build their career as a Python developer.

Python 2 v/s Python 3

Having understood what is Python, let us start exploring the different versions of Python, such as Python 2 and Python 3. Later we will look at the major differences between them.

Python 2: Python 2 has been the more popular version. This version released in the year 2000 and made the code development process very easy compared to its earlier versions. Python 2 is a more transparent and inclusive language development process than its earlier versions.

Python 2 has implemented technical details of Python Enhancement Proposal (PEP). Python 2.7 or Python 2.7.20 is the last version of Python 2 and is no longer under development and in the year 2020, it will be discontinued.

Read more

After Effects For Graphic Design

As a designer, you’re constantly challenged to create new and compelling imagery for your projects. That sometimes requires new tools. After Effects is known for animation, but it’s also a powerful program for graphic designers. Its panels and basic features are similar to Photoshop, Illustrator, and InDesign, which makes After Effects easier for designers to learn.

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After Effects for Graphic Design is a course that offers a unique workflow, combining Photoshop with After Effects to create stunning, unique, and professional-quality assets for print, web, and photography. Instructor Chris Converse — founding partner of Codify Design Studio — shows how to create special effects, add dramatic lighting to photos, color key images, build textures and patterns, and generate artwork from almost nothing, producing effects like water, bubbles, lightning, and rain. The course is for any designer—even if you’ve never used After Effects before. Chris demos each example step by step, and shows how the results can be used in real-world design projects.

Who is the target audience?

  • Graphic Designers
  • Photographers
  • Illustrators
  • Web Designers
  • Ayone who wants to create visually stunning artwork
Basic knowledge
  • Some knowledge of Photoshop is helpful
What will you learn
  • Create jaw-dropping visuals in just a few minutes
  • Create unique artwork for any design project
  • Enhance photographs with lighting and special effects
  • Enhance illustrations and artwork with high quality effects
  • Generate unique patterns and textures from any image
  • Learn to combine After Effects and Photoshop to design amazing graphics

Number of Lectures: 29

Total Duration: 02:33:34

You can sign up here

How low can the cost of an online course get? Guess!

The surprises never stop at Simpliv! For this Republic Day, it has an offer that will, well, have you rubbing your eyes in disbelief. It offers a whopping 50% off on its online courses! Its courses, which were already priced at a completely affordable level, are now available starting at an eye popping rate of $ 2.5! Yes indeed, you are reading right. Simpliv has online courses for this Republic Day starting at all of $ 2.5, which works to all of ₹178.

elegant indian happy independence day background

If you are thinking of augmenting your knowledge, all that you need to do is visit our website at https://www.simpliv.com/ and apply our Special Coupon code, “SIMPLIVDEAL50”, for our Republic Day Offer, where you get an extra 50% off on all courses! This offer starts January 23 and runs till the end of the month, January 31.

Features of Simpliv online courses

Simpliv is a platform for the widest and deepest forms of learning. Its courses come with several features that make it such a valuable platform for learning:

  • Its courses are certified, which means that no learning is wasted
  • These online courses are created and taught by some of the leading lights of the respective industries in which they work
  • You are under no pressure to complete these courses, as they are self-paced and can be completed at your convenience!

Learning on all the areas of knowledge!

We understand that the next obvious question that should be crossing your mind is this: is this Republic Day Offer only for select courses? The answer is an emphatic NO! We place no restriction on the kind of course or subject or topic that you want to gain learning in. So, whether it is about a certain aspect of MS Excel that you want to excel in, or about an element of meditation that you want to concentrate, it is the same for us!

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Just sample a small dose of the broad areas in which you can walk away with a profound increase in your knowledge for this Republic Day:

  • Development
  • Database
  • IT and software systems
  • Health and vigor
  • Individual development
  • Desirable lifestyle
  • Productive expertise and efficiency
  • Profession
  • Blueprint and Designing
  • Marketing
  • Photography, and
  • Lots, lots more!

So, hurry up. Offers like this Republic Day special come once in a while. Make the best out of it, gain knowledge, and get ready to ascend in your learning path, because, after all, there is no substitute for learning!

Project Management For Managers And First Time PMs

Do you need to manage a project?

And do you want to deliver it on time, on budget, and to requirement?

projectmanagement

If you are new to project management – or just want a refresher, this course will give you all the basics and more.

Project management has become a vital element of business life. Success for both you and your organisation will depend on good project management skills.

How do you set up to succeed? This seminar shows you the practical tools, techniques and advice you need.

What will I get?

You will get over two and a half hours of high quality video – not just a PowerPoint with a voice over.

It is based on Mike’s best selling three-hour live seminar and contains over two and a half hours of video, and a wealth of additional templates for you to download and adapt to your work. These will help you to manage your projects practically, for greater control and more success.

If you want to deliver your next project on time, on budget and to specification, you can’t afford not to take this course.

What people say about Mike’s live seminar…

“This did what it said on the box – a great deal of practical ideas for planning and managing tasks, along with understanding of key principles for successful delivery”

Andrea Duncan, PDP Co-ordinator – University of Northampton

“One of the best seminars I’ve attended in the last 17 years. Enjoyable practical and useful. I would highly recommend this course”

Diane Massey – DSM Legal Solicitors

“If you’ve never had formal training in project management – you’ll learn a huge amount about processes and the secrets to succeeding in your projects”

Paul Foxall, Senior Project Officer – Sandwell MBC

“Excellent seminar. I have been on previous project management course. This one seemed very different and much better due to brilliant examples Mike gave.”

Emma Oliver, Marketecture

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Dr Mike Clayton

Mike is on of the UK’s leading project delivery experts. He has many years experience of managing projects and integrating change in many companies of varying sizes. Mike has had key roles in managing multi-million pound projects for Vodafone, General Motors, BAA and Transport for London. Organisations of all sizes have benefited from his skills in integrating complex change. You will get real results as his highly practical approach simplifies complex ideas.

Mike also has over 20 years’ experience of training project managers, throughout the UK and in Europe and the US. He is the author of thirteen top-selling business, management, and personal effectiveness books, including four on project management topics:

  • How to Manage a Great Project On budget. On target. On time. (Pearson, 2014)
  • The Influence Agenda A systematic approach to aligning stakeholders in times of change (Palgrave Macmillan, 2014)
  • Brilliant Project Leader What the best project leaders know, do and say to get results, every time (Pearson, 2012)
  • Risk Happens! Managing risk and avoiding failure in business projects (Marshall Cavendish, 2011)

What if you have questions?

I will be on hand to answer your questions if you get stuck, puzzled, or just want to know more. As a professional trainer, this is what I do, and I promise to respond within 24 hours of your question arriving with me from Simpliv.

Enroll Now

Enroll for this course now, so you can start to gain control of your projects straight away.

Who is the target audience?

  • New and want-to-be project managers
  • Project managers who have had no formal training and who want to start to formalize what you have learned on the job
  • Beginners and also for intermediates with a few projects under your belt
  • Managers and professionals who are starting to need to deliver projects as a part of your day-to-day responsibilities
  • This course will give you a great leg up if you need to get involved in your first project… in any capacity
Basic knowledge
  • You won’t need any software or materials other than your preferred note-taking device (pen & paper, Evernote or OneNote, or anything in between.
  • If you have any experience of projects at all, that is absolutely fine. If you do have experience, bring it with you as you watch the videos. If you don’t, bring your common sense
What will you learn
  • Understand how projects work and be able to control your project process
  • Deploy some of the main ways to avoid budget and schedule over-runs
  • Define your project precisely, for your benefit and everyone else’s
  • Establish a clear scope, so you can combat the dreaded ‘scope creep’
  • Deal effectively with supporters, critics and bystanders
  • Create time scales on getting the job done using milestone planning
  • Be able to use the world’s favourite project planning tool: the Gantt chart
  • Achieve fair and effective allocation of project responsibilities
  • Get the most from your team: motivation, collaboration and communication
  • Predict problems and plan your responses
  • Be able to assess which risks to deal with first
  • Assess which risks to deal with first
  • Apply all six strategies for action on risks available to use
  • Stay in control when people change their minds
  • Deliver your project on budget, on target, and on time
  • Complete the three key tasks to finally close down your project

Number of Lectures: 27

Total Duration: 02:52:25

You can sign up here

Best Online Tableau Training For Al- 2020

Learn data visualization through Tableau and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

You’ll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

robotics1

Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly

  • Connect Tableau to a Variety of Datasets
  • Analyze, Blend, Join, and Calculate Data
  • Visualize Data in the Form of Various Charts, Plots, and Maps
  • Convert Raw Data Into Compelling Data Visualizations Using Tableau

Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.

Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you’re learning.

Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.

Contents and Overview

This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.

To be able to find trends in your data and make accurate forecasts, you’ll learn how to work with data extracts and timeseries.

Also, to make data easier to digest, you’ll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.

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In order to begin visualizing data, you’ll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.

You’ll even learn when it’s best to join or blend data in order to work with and present information from multiple sources.

Finally, you’ll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines.

By the time you complete this course, you’ll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.

You’ll be fully prepared to collect, examine, and present data for any purpose, whether you’re working with scientific data or you want to make forecasts about buying trends to increase profits.


Basic knowledge

  • This course has been developed considering the complete beginner and so no prior knowledge is expected. A Basic knowledge of computer is sufficient

What will you learn

  • Understand visualization
  • Different Visualization Tools and Why Tableau is leading tool
  • Different products of Tableau
  • Job Market of Tableau
  • Visualization Life cycle
  • Install Tableau Desktop
  • Connect Tableau to various Datasets: Excel, CSV, Microsoft SQL Server and more
  • Create different plots- Barcharts, Area Charts, Map chart, Scatterplots, Piecharts, Treemaps, Pie Chart, Heatmap, Tables, Highlighted Table, Point chart and more
  • Also Create advanced chart like sunburst chart, waterfall model etc
  • Create Interactive Dashboards
  • Create Storylines
  • Understand Types of Joins and how they work
  • Work with Data Blending in Tableau
  • Create Table Calculations
  • Work with Parameters
  • Create Dual Axis Charts
  • Create Calculated Fields
  • Create Calculated Fields in a Blend
  • Export Results from Tableau into PowerPoint, Word, and other software
  • Work with Timeseries Data (two methods)
  • Creating Data Extracts in Tableau
  • Understand Aggregation, Granularity, and Level of Detail
  • Adding Filters and Quick Filters
  • Create Data Hierarchies
  • Adding Actions to Dashboards (filters & highlighting)
  • Assigning Geographical Roles to Data Elements
  • Advanced Data Preparation
  • Resume preparation
  • Interview questions
  • How to crack interviews

Number of Lectures: 46

Total Duration: 03:28:34

You can sign up here

Robotics Architecture and it’s fundamentals

Robotics deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing. These technologies are used to develop machines that can substitute for humans and replicate human actions

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In architecturerobots have mostly been used to choose and position materials, such as bricks. Using multiple robotsarchitects can control movement, and coordination, as an alternative to design and programming, followed by fabrication and construction

Robotics are already being used in virtually every step of the building design process,from initial site analysis to construction. This is what makes this technology so useful for architects: robotic systems are flexible and can be created to solve a wide range of architectural problems.

Learn Robotics Fundamentals You Need To Know 

‘Learn Robotics Fundamentals You Need To Know’ is an online course that will help you To create a Robotic product And Get Your Dream Job. It is a complete guide on the basis of Robotics Architecture.

This program covers basic concepts of Robotics architecture. With this course, you will be able to create a Robotic product.It also includes the operation of controlling simple motors. After this course, you will be able to easily move on to the advanced Robotics courses. There are various amazing job profiles for people who are aiming for learning Robotics like:

  • Robotics Engineer
  • Robotics Process Automation Developer
  • Robotics Account Manager

Those who are interested in Robotics would get a chance to know the basics of Robotics. For beginners, it is very adaptive without any prior knowledge of Robotics. It covers the Fundamental Theory of Robotics, Introduction to Motors (Servo, DC and Stepper) and Bluetooth. The product that you will learn to make at the end of this course is a Robotic Car.

Note 1: Hardware kit cost is Rs. 5,000 and it can be delivered in India only.

Note 2: The course is taught in Hindi and English mixed. Moreover, by considering the fact that the students are from different countries and regions, we are working on providing English Subtitles for the course.

Who this course is for:

  • Robotics enthusiasts, Anyone interested in learning about Robotics
Basic knowledge
  • No Basic Knowledge required
What will you learn:
  • For beginners, it is very adaptive without any prior knowledge of Robotics
  • The product that you will learn to make at the end of this course is a Robotic Car
  • You will be able to easily move on to the advanced Robotics courses
  • Learn to program robots in a professional way
  • Build distributed software and drivers for a robot

Total Duration: 01:22:05

Number of Lectures: 27

You can sign up here

 

The Best CSS Tutorial For Beginners

Are you someone who has been working with WordPress and want to take your sites to the next level by changing their look and their style?

Or maybe you’re frustrated because you want to make changes but you can’t figure out how to do it.

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Maybe you’ve tried to make your website look better, and you’ve done the best you can but you keep getting stuck.

If you don’t learn this, I’m sorry to say that that frustration doesn’t go away! And as frustrating as it is now, imagine what you’ll feel like a month or a year from now when you STILL DON’T KNOW how to make your website look better quickly and easily.

I KNOW how that frustration feels, I’ve been there, and I know how annoying it can be to know what kind of changes you want to make, but then not know HOW to make them. But I’ve learned the RIGHT way to style websites, and it’s called CSS, and that’s what I want to teach you today.

Take a look at this example of how a simple boring form can be easily and quickly transformed into something mobile friendly and responsive! I’ll walk you through exactly how to do this and other things like it in this course.

Also, imagine what it will feel like to be able to look behind the scenes of any WordPress website you visit and see how THEY styled it, and then be able to model that styling for your own website!

Imagine using code that makes your website look so much better the INSTANT you add it.

And what will you feel like when you can take a boring theme and injecting it with life and your own personality, quickly and easily using CSS.

This course is the complete guide to beginner css and it is the exact tool you NEED in order to style your WordPress website.

WHEN YOU join this course TODAY, you get lifetime access. Not only that: this course will be super helpful to you now AND in the future whenever you have a question about CSS. It’s easy to ask any questions at any time and I’ll be right there with you, answering them.

Take this course NOW and I’ll see YOU on the other side!

 

Basic knowledge
  • You should be familiar with WordPress
  • You should have very basic knowledge of HTML
  • All required software is free (and download links are included)
  • You should make sure you like my teaching style (please preview a video)!
What will you learn
  • Take your websites to the next level by changing their look and their style
  • Have CONFIDENCE to know you can make any website look better quickly
  • GET RID of your frustration making changes to your website by truly understanding what’s going on
  • Get UNSTUCK and feel free to make new changes without being worried it will take you hours to fix

Job roles and responsibilities for Data Scientists

Who is a Data Scientist?

Data Scientists are the professionals who work with complex data available to them from different sources, applying various scientific methodologies and extracting some meaningful information from it. These professionals work with several elements related to mathematics, statistics, computer science and many more.

What-Skills-Do-I-Need-to-Become-a-Data-Scientist

Data Scientists have to be very good at using Machine Learning technologies and applying various statistical methods to analyze the data that can be helpful to various organizations to make their business strategies.

Responsibilities of Data Scientist in the organization

  • Data Scientists need to work with the Data Science team, as well as cross functionally with other teams including back-end developers, product management to help define problems, collect data and use analytical models
  • They need to develop and use advanced software programs, algorithms, querying and automated processes to cleanse, integrate and evaluate datasets and models complex business problems
  • Data Scientists should know how to design efficient data mining and text mining frameworks with related tools
  • They should develop Machine Learning components and integrate these into business processes.

Data Scientist salary

How much does a Data Scientist earn?

As per the report provided by Glassdoor and PayScale,a Data Scientist in U.S.A., even with no experience can earn $100,000 annually. With little more experience, they can earn an annual salary up to $118,000.

Skill sets required to become a Data Scientist

Technical skills

  • Excellent programming skills in R or Python
  • Good knowledge of relational databases and SQL
  • Experience in MATLAB
  • Experience in Deep Learning frameworks such as TensorFlow
  • Experience with NLP algorithms and techniques is an advantage
  • Knowledge of Statistics and Math
  • Data Visualization and Reporting.

Non-technical skills

  • Intellectual curiosity
  • Business acumen
  • Analytical Problem-solving
  • Teamwork.

Soft skills

  • Require strong written and verbal communication skills
  • Need to have leadership skills
  • Should have the ability to inspire others and support other’s development to achieve full potential
  • Need to collaborate closely with engineering and BI teams.

Educational qualifications:

Data Scientists are highly educated. Most of them have a master’s degree and some of them have Ph.D.’s. A Bachelor’s degree in any of the fields such as Computer Science, Social Science, Physical Science, and Statistics.

The most common field of study are Mathematics and Statistics, followed by Computer Science and Engineering. A degree in any of these courses will give you the skills you required to process and analyze Big Data.

With this information, we hope that you got a good idea of all the important aspects that help you to become a Data Scientist. You can also find  online courses on Data Science that teach all the necessary fundamental concepts about Data Science and help you to become a Data Scientist professional.

Today, Data Science has become one of the most discussed term in the IT industry. Data Science with its vast features has been responsible for creating more number of new jobs. The job titles such as Data Scientist, Data analyst, etc. are new and were not even heard by laymen a few years back, but with the kind of revolutionary changes Data Science has brought about in various industries, Data Science professionals have been much sought-after IT professionals.

 

Best Python Courses To Learn Online In 2020

Best python courses are always much in demand.The ever widening horizon of technology has been steeply creating a high demand for python programmers ever before.This made me to bundle some of the best python courses to learn online in 2020.

Best Python Courses

Learning Path: Python: Programming For Python Users

Learning Path: Python GUI Projects

Python For Beginners: A Python Mega Course With 10 Projects

Learning Path: Expert Python Projects

Basic Python Mega Course For Beginners

Learning Path: Deep Dive Into Python Machine Learning

Learning Path: The Road To Tensorflow

Learning Path: Python

Python 3 Masterclass Step By Step With Coding Exercises

Learning Path: Python And Machine Learning Foundation

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Learning Path: Python: Programming For Python Users

This Learning Path first introduces the Unity engine. It shows how to use the interface and how to build levels, and culminates in the creation of a simple game. The core features and fundamentals are explored in a fun and practical way, encouraging the development of real-world projects while establishing a solid understanding of game development principles.

What will you learn
  • See the intricate details of the Python syntax and how to use it to your advantage
  • Get acquainted with advanced programming techniques in Python
  • Integrate application software using Python
  • Synchronize multiple threads and processes to manage parallel tasks
  • Implement message passing communication between processes to build parallel applications
  • Apply parallel programming techniques that can lead to performance improvements
  • Send HTML formatted emails
  • Automate your tasks by using scheduling mechanisms

Duration : 11:15:08

   Rating: 4.5 out of 5

   You can sign up here

Learning Path: Python GUI Projects

In the initial part of the Learning Path it will be focusing on creating applications. The latter part of the Learning Path focuses on a powerful GUI package—Tkinter—that comes with standard Python distributions. It delivers the bigger picture of GUI programming by building real-world, productive, and fun applications, such as a text editor, drum machine, game of chessmedia player, drawing application, chat application, screen saver, and port scanner. In every project, you will build on the skills acquired in the previous project and gain more expertise.

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What will you learn
  • Create fully functional GUIs written in Python effortlessly
  • Implement several design patterns in Python
  • Create apps that can be scaled in size or complexity without breaking down the core
  • Create apps that leverage resources from the network
  • Understand the basics of 2D and 3D animation in GUI applications

Duration : 07:03:07

Rating: 4.4 out of 5

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Python For Beginners: A Python Mega Course With 10 Projects

This course will cover the following

  • Python installation
  • Python Basics
  • Running Python Code
  • Strings
  • Numbers
  • Lists
  • Dictionaries
  • Tuples
  • Sets
  • Boolean’s
  • Program flow control
  • If Else Statement
  • While Loop
  • For Loop
  • File Handling
  • Operators
  • Functions
  • Lambda Expression
  • Built-in Functions
  • Object Oriented Programming
  • Class and Objects
  • Attributes
  • Methods
  • Inheritance
What will you learn
  • Complete understanding of Python from the Scratch
  • Learn to Automate Tasks with Python
  • Build your own Games in Python
  • Encryption with Python Programming
  • CREATE your own Programs and Applications
  • Sentiment Analysis with Social Media
  • Master Object-Oriented Programming (OOP) in Python 3
  • Build a Solid Foundation in Python Programming

Duration :04:51:44

Rating: 4.2 out of 5

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Learning Path: Expert Python Projects

This Learning Path follows a project-based approach to help you learn all the advanced concepts of Python. It will focus on GUI projects with Tkinter, look at data visualization in deep, and then move on to machine learning. This Learning Path aims to get you well-versed with every concept of Python by teaching a broad range of topics.This Learning Path aims to equip you with a mastery of Python like no other!

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What will you learn
  • Become proficient at creating tools and utility programs in Python
  • Create apps that can be scaled in size or complexity without breaking down the core
  • Understand the basics of 2D and 3D animation in GUI applications
  • Make 3D visualizations mainly using mplot3d
  • Understand the most appropriate charts to describe your data
  • Use predictive modeling and apply it to real-world problems
  • Work with image data and build systems for image recognition and biometric face recognition

Duration : 18:10:54

Rating: 4.3 out of 5

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Basic Python Mega Course For Beginners

By the end of this course you will be able to create Python scripts.Become a Python Programmer and learn one of the most requested skills.Understand Python as an Object Oriented and Functional Programming Language.Learn how to Solve Real Programming Problems with a Focus on Teaching Problem Solving Skills.You will get lifetime access.

What will you learn
  • Learn all Python basics such as variables, functions, conditionals, loops, text processing, file processing and more
  • Understand the Basics of Python
  • Learn how to install packages in Python
  • Learn how to create variables
  • Understand and implement basic Python Code
  • Explore Python’s object types such as numbers, lists, and dictionaries

Duration : 08:11:50

Rating: 4.3 out of 5

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Learning Path: Deep Dive Into Python Machine Learning

In this course you will learn the following;

  • Get to grips with the basics of operating in a Python development environment
  • Build Python packages to efficiently create reusable code
  • Become proficient at creating tools and utility programs in Python
  • Use the Git version control system to protect your development environment from unwanted changes
  • Harness the power of Python to automate other software
  • Distribute computation tasks across multiple processors
  • Handle high I/O loads with asynchronous I/O to get a smoother performance
  • Take advantage of Python’s metaprogramming and programmable syntax features
  • Get acquainted to the concepts behind reactive programming and RxPy
  • Understand the basic data mining concepts to implement efficient models using Python
  • Know how to use Python libraries and mathematical toolkits such as numpy, pandas, matplotlib, and sci-kit learn
  • Build your first application that makes predictions from data and see how to evaluate the regression model
  • Analyze and implement Logistic Regression and the KNN model
  • Dive into the most effective data cleaning process to get accurate results
  • Master the classification concepts and implement the various classification algorithms
  • Explore classification algorithms and apply them to the income bracket estimation problem
  • Use predictive modeling and apply it to real-world problems
  • Understand how to perform market segmentation using unsupervised learning
  • Explore data visualization techniques to interact with your data in diverse ways
  • Find out how to build a recommendation engine
  • Understand how to interact with text data and build models to analyze it
  • Work with speech data and recognize spoken words using Hidden Markov Models
  • Analyze stock market data using Conditional Random Fields
  • Work with image data and build systems for image recognition and biometric face recognition
  • Grasp how to use deep neural networks to build an optical character recognition system
  • Get a quick brief about backpropagation
  • Perceive and understand automatic differentiation with Theano
  • Exhibit the powerful mechanism of seamless CPU and GPU usage with Theano
  • Understand the usage and innards of Keras to beautify your neural network designs
  • Apply convolutional neural networks for image analysis
  • Discover the methods of image classification and harness object recognition using deep learning
  • Get to know recurrent neural networks for the textual sentimental analysis model

Duration :  13:28:02

Rating: 4.1 out of 5

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Learning Path: The Road To Tensorflow

It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies. If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this path will help you get up to speed. It specifically focuses on getting you up and running with TensorFlow, after up-and-running coverage of Python and Deep Learning in Python with Theano.

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What will you learn
  • Build Python packages to efficiently create reusable code
  • Become proficient at creating tools and utility programs in Python
  • Use the Git version control system to protect your development environment from unwanted changes
  • Harness the power of Python to automate other software
  • Distribute computation tasks across multiple processors
  • Handle high I/O loads with asynchronous I/O for smoother performance
  • Take advantage of Python’s metaprogramming and programmable syntax features
  • Get to grips with unit testing to write better code, faster
  • Understand the basic data mining concepts to implement efficient models using Python
  • Know how to use Python libraries and mathematical toolkits such as numpy, pandas, matplotlib, and sci-kit learn
  • Build your first application that makes predictions from data and see how to evaluate the regression model
  • Analyze and implement Logistic Regression and the KNN model
  • Dive into the most effective data cleaning process to get accurate results
  • Master the classification concepts and implement the various classification algorithms
  • Get a quick brief about backpropagation
  • Perceive and understand automatic differentiation with Theano
  • Exhibit the powerful mechanism of seamless CPU and GPU usage with Theano
  • Understand the usage and innards of Keras to beautify your neural network designs
  • Apply convolutional neural networks for image analysis
  • Discover the methods of image classification and harness object recognition using deep learning
  • Get to know recurrent neural networks for the textual sentimental analysis model
  • Set up your computing environment and install TensorFlow
  • Build simple TensorFlow graphs for everyday computations
  • Apply logistic regression for classification with TensorFlow
  • Design and train a multilayer neural network with TensorFlow
  • Understand intuitively convolutional neural networks for image recognition
  • Bootstrap a neural network from simple to more accurate models
  • See how to use TensorFlow with other types of networks
  • Program networks with SciKit-Flow, a high-level interface to TensorFlow

Duration : 08:44:58

Rating: 4.2 out of 5

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Learning Path: Python

Rising in popularity alongside data science, it’s easy to forget that Python has a wide range of applications outside of crunching numbers and outputting graphs. This Learning Path will take you through a tour of the language from the fundamentals right up to more advanced patterns that help make your code more expressive, efficient and readable.

What will you learn
  • Get to know Python’s data structures to enhance good design patterns and scalability to your code
  • Construct loops to perform repeated tasks
  • Create functions in Python to provide programs with better modularity
  • Understand the concept of function recursion adding clarity to write and debug codes
  • Manage program control flow and branching to perform conditional tasks
  • Install third-party libraries to add advanced customizations to images
  • Perform picture manipulations such as contrast and grayscale
  • Build Python packages to efficiently create reusable code
  • Become proficient at creating tools and utility programs in Python
  • Use the Git version control system to protect your development environment from unwanted changes
  • Harness the power of Python to automate other software
  • Distribute computation tasks across multiple processors
  • Handle high I/O loads with asynchronous I/O for smoother performance
  • Take advantage of Python’s metaprogramming and programmable syntax features
  • Get to grips with unit testing to write better code, faster

Duration :07:15:45

Rating: 4.1 out of 5

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Python 3 Masterclass Step By Step With Coding Exercises

This course will help you to learn Python 3 step by step from beginning to expert level. Undoubtedly, Python is the most in-demand language. It is used for Data Science and analytics, Machine Learning, Web Programming.This course aims to teach the Python language in dept to the students, the instructor explains everything from grounds up so that student could learn the basics with programming along with the Python language.

What will you learn
  • Complete command over Python language.
  • loops, if-elif-else, break, continue
  • String
  • Set
  • Tuple
  • Exception handling using try-except block.
  • File handling in detail including reading and writing of csv files using csv module
  • Basics of Python
  • Writing functions in Python, understanding Parameters
  • List
  • Dictionary
  • Random module
  • Command line arguments
  • Class, Objects, magic methods

Duration :16:23:57

Rating: 4.3 out of 5

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Learning Path: Python And Machine Learning Foundation

This Learning Path takes you from zero experience to a complete understanding of key concepts, edge cases, and using Python for real-world application development. After a brief history of Python and key differences between Python 2 and Python 3, you’ll understand how Python has been used in applications such as YouTube and Google App Engine. As you work with the language, you’ll learn about control statements, delve into controlling program flow and gradually work on more structured programs via functions.

What will you learn
  • Learn to use control statements
  • Understand how to use loops to iterate over objects or data for accurate results
  • Write encapsulated and succinct Python functions
  • Build Python classes using object-oriented programming
  • Manipulate files on the file system (open, read, write, and delete)
  • Gain insight into the difference between supervised and unsupervised models
  • Study popular algorithms, such as K-means, Gaussian Mixture, Birch, Naïve-Bayes, Decision Tree, and SVM
  • Visualize errors in various models using Matplotlib

Duration :12:58:03

Rating: 4.2 out of 5

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Hope that these best python courses mentioned here will help you in growing in the tech field and safe guard and secure your future.Equip yourself with the latest knowledge in the field and get ready for the war front.