top 10 free data science online courses 2020
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Top 10 Free Data Science Online Courses To Learn In 2020

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning, and big data. Kindly check below the top 10 Free Data Science Online Courses to Learn in 2020.

The simplest definition of data science is the extraction of actionable insights from raw data.

Also, as per the “LinkedIn Emerging Jobs Report 2020” data science has topped the Emerging Jobs list for three years running. It’s a specialty that’s continuing to grow significantly across all industries.

LinkedIn’s data indicates some of this growth can likely be attributed to the evolution of previously existing jobs, like Statisticians, and increased emphasis on data in academic research.

As per the latest report nearly 100,000 data science jobs vacant in India. A study conducted by EdTech company Great Learning said.

Despite COVID 19, the enthusiasm and optimism around the analytics function continue to remain high with India contributing 9.8% of the total global analytics job openings in August 2020 compared to 7.2% in January this year, it said.

The study also, revealed that the median salary for data science professionals in India stands at 9.5 lakh/annum in 2020 as per the listed job openings (the actual salary is generally higher than the listed salary).

For those with more than a decade of experience, packages are in the range of 25 lakh to 50 lakh depending on the role and expertise.

Information Technology & Services, Computer Software, Internet, Financial Services, Higher Education are amongst the top industries hiring talents for data science roles.

Data Science Online Courses

If you are planning to enter into the data science field, this is the perfect time to grab this once in a lifetime career opportunity.

We have compiled below the list of the top and the best FREE Online data science courses to learn in 2020. Kindly check it and join them to make your career as a data scientist and secure your future.

The listed below are the top and the best data science online course free, data science free online course with certificate. You can learn these Data science online courses in India and from any part of the world.

Kindly check the data science course syllabus, data science certification. All these courses are offered on top online learning platforms like Coursera, edX, Futurelearn, and Udemy.

You can easily enroll in all of these courses FREE of cost but if you are looking for the certificates You can also, check the data science course fees, data science course eligibility by visiting the course provider websites.

Data Science Specialization

Course Offered by JOHNS HOPKINS University

Course Duration: Approx. 7 months  

Price: FREE

Launch Your Career in Data Science. A ten-course introduction to data science developed and taught by leading professors.

This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.

In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

What you will learn;

  • Use R to clean, analyze, and visualize data.
  • Navigate the entire data science pipeline from data acquisition to publication.
  • Use GitHub to manage data science projects.
  • Perform regression analysis, least squares, and inference using regression models.

Skills you will gain;

  • Github
  • Machine Learning
  • R Programming
  • Regression Analysis
  • Data Science
  • Rstudio
  • Data Analysis
  • Debugging
  • Data Manipulation
  • Regular Expression (REGEX)
  • Data Cleansing
  • Cluster Analysis


AI for Everyone: Master the Basics: Data Science Online Courses

Course Offered by IBM

Course Duration: 4 weeks

Price: FREE

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning, and neural networks.

In this course, you will learn what AI is and understand its applications and use cases, and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI.

You will be exposed to concerns surrounding AI, including ethics, bias, jobs, and the impacts on society. You will take a glimpse of the future with AI, get advice for starting an AI-related career, and wrap up the course by demonstrating AI in action with a mini-project.

This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

What you’ll learn;

  • Understand what is AI, its applications and use cases and how it is transforming our lives
  • Explain terms like Machine Learning, Deep Learning, and Neural Networks
  • Describe several issues and ethical concerns surrounding AI
  • Articulate advice from experts about learning and starting a career in AI.


Applied Data Science with Python Specialization

Offered by: University of MICHIGAN

Course Duration: Approx. 5 months

Price: FREE

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language.

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistics, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.

Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

What you will learn;

  • Conduct an inferential statistical analysis
  • Discern whether a data visualization is good or bad
  • Enhance a data analysis with applied machine learning
  • Analyze the connectivity of a social network

Skills you will gain;

  • Text Mining
  • Python Programming
  • Pandas
  • Matplotlib
  • Numpy
  • Data Cleansing
  • Data Virtualization
  • Data Visualization (DataViz)
  • Machine Learning (ML) Algorithms
  • Machine Learning
  • Scikit-Learn
  • Natural Language Toolkit (NLTK)


Data Science: Machine Learning

Offered by: HARVARD University

Course Duration: 8 weeks

Price: FREE

In this course, part of the Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets.

You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.

What you’ll learn;

  • The basics of machine learning
  • How to perform cross-validation to avoid overtraining
  • Several popular machine learning algorithms
  • How to build a recommendation system
  • What is regularization and why it is useful?


Introduction to Data Science: Data Science Online Courses

Offered by: IBM

Course Duration: 6 weeks

Price: FREE

The art of uncovering the insights and trends in data has been around for centuries. The ancient Egyptians applied census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year.

Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science and in this course, you will meet some big data science practitioners and we will get an overview of what data science is today.

What you’ll learn:

  • Definition of data science and what data scientists do
  • Tools and algorithms used on a daily basis within the field
  • Skills needed to be a successful data scientist
  • The role of data science within a business
  • How to form a strong data science team


Machine Learning for Data Science and Analytics

Offered by: Columbia University

Course Duration: 5 weeks

Price: FREE

Learn the principles of machine learning and the importance of algorithms. Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading, and many other applications.

This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

What you’ll learn;

  • What machine learning is and how it is related to statistics and data analysis
  • How machine learning uses computer algorithms to search for patterns in data
  • How to use data patterns to make decisions and predictions with real-world examples from healthcare involving genomics and preterm birth
  • How to uncover hidden themes in large collections of documents using topic modeling
  • How to prepare data, deal with missing data and create custom data analysis solutions for different industries
  • Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming


Data Analysis Essentials: Data Science Online Courses

Offered by: Imperial College London

Course Duration: 6 weeks

Price: FREE

Discover and acquire the quantitative data analysis skills that you will typically need to succeed in an MBA program. This course will cover the fundamentals of collecting, presenting, describing, and making inferences from sets of data.

The goal of this course is to teach you fundamental data analysis skills so you are prepared for your MBA study and able to focus your efforts on the core MBA curriculum, rather than continually playing catch-up with the underlying statistical knowledge needed.

We also hope that learning these data analysis skills will equip you with the ability to understand, to a greater degree, the data you encounter in your working lives and in the world around you – an essential life-skill in today’s data-driven environment

This course assumes no prior knowledge of data analysis. Concepts are explained as clearly as possible and regular activities give you the opportunity to practice your skills and improve your confidence.

What you’ll learn;

  • Presenting and summarising your data
  • Decision making under uncertainty
  • Data-based decision making
  • Modeling for decision making

Course Syllabus:

Topic 1 – Presenting and summarising your data
Topic 2 – Decision making under uncertainty
Topic 3 – Data-based decision making
Topic 4 – Modelling for decision making


Data Science: Machine Learning and Predictions

Offered by: Berkeley University of California

Course Duration: 6 weeks

Price: Free

Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions.

The course will highlight the assumptions underlying the techniques and will provide ways to assess whether those assumptions are good. It will also point out pitfalls that lead to overly optimistic or inaccurate predictions.

What you’ll learn;

  • Fundamental concepts of machine learning
  • Linear regression, correlation, and the phenomenon of regression to the mean
  • Classification using the k-nearest neighbors algorithm
  • How to compare and evaluate the accuracy of machine learning models
  • Basic probability and Bayes’ theorem


Big Data Analytics: Opportunities, Challenges and the Future

Offered by: Griffith University, Queensland Austalia

Course Duration: 2 weeks

Price: Free

On this course, developed by Professor Bela Stantic and Griffith University’s Big Data and Smart Analytics Lab, you’ll learn how to evaluate data from different sources, and how big data is being used in various industries to solve problems and shape our future.

You’ll also consider the challenges that arise from big data analytics, and, ultimately, how all this impacts your life.

What topics will you cover?

  • Introduction to big data and where it comes from
  • Overview of the data analytics cycle
  • Social media platforms and types of data
  • Applications of big data across different industries
  • Opportunities and challenges for big data analytics


Introduction to Data Science using Python

Offered by:  Udemy By Rakesh Gopalakrishnan

Course Duration: 2hr 32 min. of on-demand video

Price: Free

Learn Data Science / Machine Learning using Python (Scikit Learn)

This course will the first data science course in a series of courses. Consider this course as a 101 level course, where I don’t go too much deep into any particular statistical area, but rather just cover enough to raise your curiosity in the field of Data Science and Analytics.

The other modules will cover more complex concepts.

Understand the basics of Data Science and Analytics

Understand how to use Python and Scikit learn

Get a good understanding of all buzz words like “Data Science”, “Machine learning”, “Data Scientist” etc.

Who this course is for:

  • Anyone who wants to learn about Data Science from absolute scratch.
  • Anyone who wants to switch or make a career in Data Science and Analytics
  • Anyone who is curious to know what is Data Science and what does a Data Scientist do in his/her day job.


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