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Data science has become the defacto approach to tackle science and business problems. As per a report by IBM, demand for data scientists will soar by 28% by 2020. There is lots of excitement in the tech community to learn Data Sciences, but at the same time, there is a confusion on the courses one needs to take to become job ready. With this article, we have created a curated list of courses that will help you develop industry ready DataScience skills weather you Beginner or Experienced in this industry.
DataScience is an interdisciplinary science and requires knowledge of
Click on the above links to navigate to the best courses in the above category
Here are the Top 3 Courses handpicked by our experts
Rank  Course Name  Instructor  Price  Link 

1  Careers in Data Science AZ by Udemy  Super Data Science  Learn More  
2  Data Science Specialization by Coursera  Johns Hopkins University  $49  Learn More 
3  Data Science Essentials by Edx  Microsoft  $49  Learn More 
Below is complete list of courses in DataScience in order of ranking
Offered by: Super Data Science Team
Instructor: Kirill Eremenko & Hadelin de Ponteves
Price: $200 $10
This selfpaced video learning course gives you details on how to become a top data scientist. The course is designed for student or professional who wants to start or transition to a career in Data Science. It also helps professional Data Scientists who want to improve their career.
This Data Science course is divided into six different modules Introduction to Data Science, Requirements, Becoming a Top Data Scientist, Job options, promoting yourself and Interview. The course contains 3.5 hours of video content and 8 supplemental resources. The course comes with a 30day money back guarantee, and the instructors are active on the support forum.
Course link: https://www.udemy.com/careersindatascienceaztm/
Offered by: Johns Hopkins University
Instructors: Roger D. Peng, Brian Caffo, Jeff Leek
Price: $49
This Specialization course covers the concepts and tools which is need throughout the entire data science pipeline. This specialization consists of 10 courses viz, 1) The Data Scientist's Toolbox, 2) R Programming 3) Getting and Cleaning Data 4) Exploratory Data Analysis 5) Reproducible Research 6) Statistical Inference 7) Regression Models 8) Practical Machine Learning 9) Developing Data Products 10) Data Science Capstone
In the final Capstone Project, students need to apply the skills learned by building a data product using realworld data. After the end, of course, students will have a portfolio to demonstrate their knowledge.
Course Link: https://www.coursera.org/specializations/jhudatascience
Offered by: Microsoft
Instructor: Dr. Steve Elston, Cynthia Rudin, Graeme Malcolm
Price: Free + $49 for a certificate
This six weeks data science course requires 34 hours working effort on the part of the learner. In this data science course, you learn important concepts in data acquisition, exploration, and visualization. This Data Science course also covers realworld applicationoriented examples like how to build a cloud data science solution using Microsoft Azure Machine learning platform.
This course covers topic like exploring the data science process, probability and statistics in data science, Data ingestion, cleansing, and transformation, visualization, introduction to machine learning, etc. The student can also get a verified certificate for this course by just spending $49 USD.
Course link: https://www.edx.org/course/datascienceessentialsmicrosoftdat2031x5
Offered by: Microsoft
Instructor: Graeme Malcolm & Liberty J. Munson
Price: Free + $49 for verified Certificate
This six weeks introductory course helps the learner to become a data scientist. The course introduces to working with and exploring data using a variety of analytical, visualization, and statistical techniques.
The course covers topic like how the Microsoft Data Science curriculum works, Basic data exploration and visualization techniques in Microsoft Excel, Foundational statistics to analyze data. Moreover, you can get verified certificate for this course by paying $49 USD.
Course link: https://www.edx.org/course/microsoftprofessionalorientationdatamicrosoftdat101x
Offered by: Johns Hopkins University
Instructors: Jeff Leek (Ph.D.), Brian Caffo (Ph.D.), and Roger D. Peng (Ph.D.)
Price: $49
This class is designed for anyone who wants to learn all about data science. The information given in this course is lucid and easy to understand for beginners. The course covers topic like the role of data science in various contexts, the structure of data science project, key term and tools used by data scientists, etc. At the end, of course, learner will be able to know how to use data science in the organizations.
Course Link: https://www.coursera.org/learn/datasciencecourse
Instructor: Barton Poulson
Price: $29.99
This Data Science course offers a complete overview of modern data science practices like exploring, modeling, obtaining and interpreting data. The primary aim of this course is to give learner to understand better data science's role in creating meaningful insights from the complex and large sets of data.
This course covers topic like demand for data science, ethical issues in data science, exploring data through graphs and statistics, R and SQL, Programming with Python, Data science in math and statistics, Data science & machine learning, Communicating with data, etc.
Course Link: https://www.lynda.com/BigDatatutorials/IntroductionDataScience/4203052.html
Instructor: Matthew Renze
Price: $29.99
This is a short beginner course with a run time of 1 hour and 9 minutes. This course will provide information about the tools, technologies, and trends driving the data science revolution. In this Data Science course, the learner will be able to get a highlevel understanding of what data science is.
This course covers topics like Data Analytics, Internet of Things, Big Data, Machine Learning, Closing the Loop, etc.
Course Link: https://www.pluralsight.com/courses/datasciencebigpicture
Price: $25
Instructors: Filip Schouwenaars, Hugo BowneAnderson, and others
This data Science course package covers statistical and machine learning techniques with Python. This course helps to easily understand complex data. This 67 hours package covers 20 Data science courses for different skill sets.
Introduction to Python for Data Science, Intermediate Python for Data Science, Python Data Science Toolbox (Part 1& 2), Importing Data in Python (Part 1 &2), Cleaning Data in Python, pandas' foundations, Manipulating Data Frames with pandas, Introduction to Databases in Python, etc.
Course Link: https://www.datacamp.com/tracks/datascientistwithpython
Offered by: Curtin University
Instructor: Leo Porter, Alon Orlitsky, Yoav Freund, Sanjoy Dasgupta, and Ilkay Altintas.
Price: $1400
This course encompasses two sides of data science learning: the mathematical and the applied. The first Mathematical part covers probability, statistics, and machine learning. It also covers the use of specific toolkit and languages like Python, Numpy, Matplotlib, pandas and the Jupyter notebook environment, Scipy /Apache Spark to explore realworld data.
In the second part, a learner will able to learn how to collect, clean and analyze big data using popular open source software to perform largescale data analysis and present findings in a convincing, visual way.
The course is bundle of 5 courses viz, Python for Data Science, Statistics and Probability in Data Science using Python, Machine Learning Fundamentals, Big Data Analytics Using Spark
Course link: https://www.edx.org/micromasters/datascience
Offered by: Super Data Science Team
Instructor: Kirill Eremenko, Hadelin de Ponteves
Price: $200 $10
This course is for everyone who is interested in the field of Machine learning. It is designed by two expert Data Scientists in such a way that helps the learner to learn complex theory, algorithms and coding libraries in a straightforward way.
This Data Science course is dived in ten different sections. 1. Data processing 2. Regression 3. Classification 4. Clustering 5. Association Rule is learning 6. Reinforcement Learning 7. Natural Language Processing 8. Deep Learning 9. Dimensionality Reduction and 10. Model Selection & Boosting.
Course link: https://www.udemy.com/machinelearning/
Here are the Top 3 Courses handpicked by our experts
Rank  Course Name  Instructor  Price  Link 

1  R Programming AZ™: R for Data Science with Real Exercises by Udemy  Super Data Science Team 
 
2  Microsoft  $99  
3  Johns Hopkins University  $49 
Below is complete list of courses in R in order of ranking
Offered by: Super Data Science Team
Instructor: Kirill Eremenko
Price: $200 $20
This course has been designed for all type of skill levels so even a person with no programming or statistical background can benefit from this course. This course is a stepbystep tutorial which covers topic like core principles of programming, how to create variables, matrix() function, learn rbind() and cbind(), how to build and use matrices, etc.
The course contains 10.5 hours of ondemand video with handson exercises. You can access the course on desktop, mobile, and TV
Course link: https://www.udemy.com/rprogramming/
Offered by: Microsoft
Instructor: Filip Schouwenaars & Jonathan Sanito
Price: Free + $99 for verified certificate
This is a beginner level course which helps the learner to get the basic information about the R programming language. This course can be finished in 4 weeks' time if learner gives just 23 work effort per week. The course is divided into seven sections which help the student to understand about data analysis using R.
This course gives information about R language fundamentals, basic syntax, how R is used to perform data analysis, introduction to major R data structures, and create customized R visualization, etc. The student can also get verified certificate by spending USD 99.
Course Link: https://www.edx.org/course/introductionrdatasciencemicrosoftdat204x6
Offered by: Johns Hopkins
Instructor: Roger D. Peng
Price: $49
This programming course gives information on how to program in R and how to use R for effective data analysis. It covers how to install and configure software needed for a statistical programming environment.
It also covers the basic programming language concepts. The course talks about practical issues in statistical computing like programming in R, reading data into R, etc. It is the best course for people who have some knowledge of programming.
Course Link: https://www.coursera.org/learn/rprogramming
Offered by: HarvardX
Instructor: Rafael Irizarry
Price: Free + $49 for a certificate
In this course, you will learn the basic building blocks of R. The length of this course is four weeks. Students will work on specific questions and learn by answering them through data analysis. Assignments use code checking technology that will helps learners to get good practice during the course. The student can also add a verified certificate for this course by spending just $49.
This course covers topic like Introduction to basic R syntax, Basic R programming concepts, How to perform operations in R, creating or importing, basic data wrangling, data frame creation, etc.
Course Link: https://www.edx.org/course/datasciencerbasicsharvardxph3251x0
Instructor: Jose Portilla
Price: $195 $10
This course is designed for both beginners as well as experienced professionals who want to excel in R. The student should have access to a computer and basic math skills. This course covers 100+ HD video lectures and detailed code notebooks for every lecture.
The course covers topic like Advanced R Features, Using R Data Frames to solve complex task like Web scraping with R, Use ggplot2 and Connect R to SQL. It also covers Machine Learning topics like Linear Regression, K Nearest Neighbors, Decision Trees, Random Forests, etc.
Course link: https://www.udemy.com/datascienceandmachinelearningbootcampwithr/
Offered by: Super Data Science Team
Instructor: Kirill Eremenko
Price: $200 $20
This is an intermediate level course that helps anyone who wants to take their R&R studio skills to the next level. However, some prior knowledge of R, knowledge of data frame and understanding of vectors and vectorized operations are needed to learn this course.
This course covers topics like Perform Data Preparation in R, missing data in your data frame, identify missing records in data frames, Deal with datetimes in R. After the end of every module selflearning exercise is given to take Data Science career into the next level.
Course link: https://www.udemy.com/ranalytics/
Instructor: Minerva Singh
Price:$200 $20
This course helps learners who are interested in learning Statistical modeling. The course contains 9.5 hours of lectures and provides a strong foundation to carry out reallife statistical data analysis tasks in R.
The topics covered include practical data analysis and interpretation, hypothesis testing to regression modeling and multivariate analysis. The course emphasizes on learning different statistical analysis techniques.
Course link: https://www.udemy.com/appliedstatisticalmodelingfordataanalysisinr/
Instructor: Barton Poulson
Price: $25 per month
This course provides an overview of modern data science. It helps the learner to get a better understanding how data sciences play a vital role in making meaningful insights from the large sets of data.
The course covers topic like the demand for data science, Ethical issues in data science, Roles and careers, sourcing data, exploring data through graphs and statistics, Programming with R, Python, and SQL, Data science in maths and statistics, communicating with data, etc.
Course Link: https://www.lynda.com/BigDatatutorials/R/420305/5051314.html
Offered by: Microsoft
Instructor: Anders Stockmarr & Jonathan Sanito
Price: Free + $99 for verified certificate
This is a beginner level course developed by Microsoft. The learner needs to devote 48 hours per week to complete this course in 6 weeks duration.
This course covers topic like Explore R language fundamentals, including basic syntax, types, and variables, how to read and write data in R, create and modify visualizations using ggplot2 and do the predictive analytics using R. The learner can get a verified certificate for USD 99.
Course Link: https://www.edx.org/course/programmingrdatasciencemicrosoftdat209x6
Instructor: Matthew Renze
Price: $29 per month
This is a beginner level Data Science course with a run time of 2 hours and 30 minutes. In this Data Science course, the student will able learn about the practice of data science with R programming language. They will also learn how it can be used to transform data into actionable insight.
This course covers topic Introduction to Data Science, Introduction to R, Working with Data, Creating Data Visualizations and statistical models. This material also teaches the student how to handle Big Data, deploy R to production and using machine learning algorithms.
Course Link: https://www.pluralsight.com/courses/rdatascience
Offered by: HarvardX
Instructor: Rafael Irizarry & Michael Love
Price: Free + $99 for verified certificate
This course is designed for the intermediate level learner. This four weeks course will introduce the student to basic statistical concepts and R programming.
This course is divided into seven parts by keeping the diversity of educational background in mind. This is selfpaced learning course covers topics like Statistics and R for the Life Sciences, introduction to Linear Models and Matrix Algebra, HighDimensional Data Analysis, Highperformance computing for reproducible genomics and case studies in functional genomics. The course also allows the learner to add a verified certificate for just USD 99.
Course link: https://www.edx.org/course/statisticsrharvardxph5251x0
Instructors: Jonathan Cornelissen, Filip Schouwenaars, and others
Price: $25 per month
This Data Science course package covers statistical and machine learning techniques with R to analyze and understand complex data. The duration of this course is 95 hours. It has 23 different skill level Data Science courses, like Introduction to R, Intermediate covers bunch of new and fun exercises, importing data into R, Cleaning Data, Importing & Cleaning Data with Case Studies.
The course also covers advanced topic like Data Manipulation in R with dplyr. Data Visualization with ggplot2, Correlation, and Regression, Machine leaning Toolbox, etc.
Course Link: https://www.datacamp.com/tracks/datascientistwithr
Offered by: Duke University
Instructor: David Banks, Colin Rundel
Price: $49
Statistics with R Specialization course covers reproducible data analysis reports. This course also provides a theoretical understanding of the unified nature of statistical inference. Communicate statistical results effectively, and in context without relying on statistical jargon.
The course also teaches how to produce a portfolio of data analysis projects from the Specialization. This allows the learner to get knowledge about statistical data analysis to inference modeling. This helps them to get the job of statistical analysis or data scientist.
Course Link: https://www.coursera.org/specializations/statistics
Here are the Top 3 Courses handpicked by our experts
Rank  Course Name  Instructor  Price  Link 

1  Python for Data Science and Machine Learning Bootcamp By Udemy  Jose Portilla 
 
2  University of Michigan  $49  
3  Microsoft  $99 
Below is complete list of courses in Python in order of ranking
Offered by: Pierian Data International
Instructor: Jose Portilla
Price: $195 $20
This comprehensive course will be your guide to learning how to use the power of Python to analyze data. The course contains 21.5 hours of HD video and detailed code notebooks. Student gets a certificate of completion of course.
It covers topic like Programming with Python, NumPy with Python, Web scraping with python. Connect Python to SQL, Machine Learning with Linear Regression, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, etc.
This training material includes many reallife analytical challenges which learner need to solve. Some of them are solved in the tutorial, and some are given in the form of homework exercises.
Course link: https://www.udemy.com/pythonfordatascienceandmachinelearningbootcamp
Offered by: University of Michigan
Instructor: Christopher Brooks
Price: $49
This course introduces learners to data science through the Python programming language. The course is a bundle of 5 courses. 1) Introduction to Data Science in Python 2) Applied Plotting, Charting & Data Representation in Python 3) Applied Machine Learning in Python 4) Applied Text Mining in Python 5) Applied Social Network Analysis in Python
A highly recommended course covers almost all aspects of Python and DataScience.
Course Link: https://www.coursera.org/specializations/datasciencepython
Offered by: Microsoft
Instructor: Filip Schouwenaars, Jonathan Sanito
Price: Free + $99 Verified Certificate
It is an introductory level selfpaced six weeks course. It starts with basic arithmetic and variables, and the student will learn how to handle data structures, such as Python lists, Pandas DataFrames, and Numpy arrays. The learner will be also able to learn about Python functions and control flow.
This Python course covers topics like Create and manipulate regular Python lists, use functions and import packages, create and customize plots on real data, supercharge scripts with control flow, get to know the Pandas DataFrame, etc. The learner will get verified certificate for USD 49.
Course link: https://www.edx.org/course/introductionpythondatasciencemicrosoftdat208x7
Offered by: Nanjing University
Instructor: Zhang Li
Price: Free
The course mainly aims for noncomputer majors. The course begins with the syntax of Python, to how to acquire data in Python both locally and from the network. The learner will also learn how to conduct basic and advanced statistical analysis and how to design a GUI to present and process data.
The course based on Finance data and through the establishment of popular cases one helps course learner to know about the simplicity, elegance, and usefulness of Python. The course is best suited for the beginner learners.
Course Link: https://www.coursera.org/learn/pythondataprocessing
Offered by: UC San Diego
Instructor: Ilkay Altintas, Leo Porter
Price: Free
This is advance Data Science learning program. It introduces the learner to a collection of powerful, opensource, tools needed to analyze data. This course covers how to use python, Jupyter notebooks, numpy, pandas, matplotlib, git and various other tools.
It is a ten weeks course that needs 810 hours' work effort from the learner. It covers topics like the Basic process of data science, Python and Jupyter notebooks, how to manipulate and analyze uncurated datasets, statistical analysis, and machine learning methods and how to effectively visualize results, etc.
Course link: https://www.edx.org/course/pythondatascienceucsandiegoxdse200x
Offered by: Microsoft
Instructor: Authman Apatira & Jonathan Sanito
Price: Free + $99 for a verified certificate
This is a six weeks course which is developed by Microsoft in partnership with Coding Dojo. The course teaches learners to apply, popular mining models to unearth useful intelligence and using Python or other languages for Data Scientists.
This intermediate level course covers topic like data visualization, feature importance as well as selection, dimensionality reduction, clustering, etc. Moreover, the data sets used for this course are gathered livedata or inspired by realworld domains.
Course link: https://www.edx.org/course/programmingpythondatasciencemicrosoftdat210x5
Offered by: Sundog Education
Instructor: Frank Kane
Price: $160
This course includes over 80+ lectures spanning 12 hours of video. Most of the topics include handson Python code examples you can use for reference and practice. The person should have some programming or scripting experience and at least know some high school maths to learn this course.
Some of the topics which are included in this course are Regression analysis, KMeans Clustering, Principal Component Analysis, and Train/Test and crossvalidation Bayesian Methods, Decision Trees and Random Forests, Multivariate Regression, MultiLevel Models, Support Vector Machines, Reinforcement and Ensemble Learning.
Course link: https://www.udemy.com/datascienceandmachinelearningwithpythonhandson/
Offered by: Lazy Programmer Inc.
Price: $120
This course is designed for any individuals who are interested in data science, machine learning, and artificial intelligence. It gives information about popular techniques used in machine learning, data science, and statistics: linear regression. It also covers the and applications to realworld problems.
The course mainly covers topic like Linear and Logistic Regression in Python, Practical Deep Learning in Theano and TensorFlow, Recurrent Neural Networks in Python.
Course link: https://www.udemy.com/datasciencelinearregressioninpython/
Offered by: Lazy Programmer Inc.
Price: $120
In this course, you learn the theory behind logistic regression and code in Python. The course gives information about deep learning and neural networks. It also covers a popular and fundamental technique used in machine learning, data science, and statistics logistic regression.
This course will teach its learner how to visualize what's happening in the model internally. The course covers Linear Regression in Python, Deep Learning in Python, Unsupervised Deep Learning, Recurrent Neural Networks in Python, etc.
Course link: https://www.udemy.com/datasciencelogisticregressioninpython/
Instructor: Lillian Pierson, P.E.
Price: $25 per month
In this course, you learn how to use Python for data preparation, data visualization, and predictive analytics. The course also covers the needed Python methods for cleaning, preparing, reformatting, and visualizing data for analytics and data science.
The main topics in this course are visualizing data: basic charts, time series, and statistical plots, Data analysis basics, Outlier analysis, Introduction to machine learning Basic machine learning methods. Reducing dataset dimensionality with PCA, simulating a social network with NetworkX, Creating Plot.ly charts, etc.
Course Link: https://www.datacamp.com/tracks/datascientistwithpython
Here are the Top 3 Courses handpicked by our experts
Rank  Course Name  Instructor  Price  Link 

1  Super Data Science 
 
2  University of California  $49  
3  Super Data Science 

Below is complete list of courses in Tableau in order of ranking
Offered by: Super Data Science Team
Instructor: Kirill Eremenko
Price:$200 $20
The course helps you to stepbystep learn Tableau 10 for Data Science. The course contains 7.5 hours of HD video training with RealLife Data Analytics Exercises & Quizzes.
This course covers topic like Tableau basics, Time series, Aggregation, Filters Working with Data Extracts in Tableau, Working with Time Series. It also includes Table Calculations, Advanced Dashboards, Storytelling and current trends in Tableau 10. The best part of this course is that every module of this course is independent, so the learner can start in whatever section he or she wants to start.
Course Link: https://www.udemy.com/tableau10/
Offered by: University of California
Instructors: Suk S. Brar & Govind Acharya
Price: $49
Data visualization with Tableau Specialization is intended for newcomers to data visualization. The course is best suited for the learner who doesn't have any knowledge about Data Visualization.
By the end of this course, the learner can generate powerful reports and dashboards. The course empowers you to assess organizational data to make decisions and able to take action based your analysis. The course end in a Capstone Project in which learner can use sample data to create dashboards, and data models. This allows them to create a presentation to the executive leadership of an imaginary company.
Course Link: https://www.coursera.org/learn/datavisualizationtableau
Offered by: Super Data Science Team
Instructor: Ben Young, Kirill Eremenko
Price: $200 $20
This is the intermediate level course. The learner should know Tableau Desktop. This course covers many visualization techniques from the reallife Data Science experts.
The best part of this Tableau 10 course is that it provides not only theory but also practical applications. This course covers topic like Domain Padding and Data Densification, Viola Chart, Hexbin Chart. Advanced Table Calculations, Sankey Diagram, Likert Scale Visualization, Hamburger Menu with Navigation.
Course Link: https://www.udemy.com/masteringtopvisualizationtechniquesintableau
Instructor: Ben Sullins
Price: $25
Tableau is a leading Bi platform and most comprehensive Data analytics solution. R is a famous open source language. In this 1 hour 10 minute long tutorial, the student will learn how to integrate R and Tableau platforms. The course also includes how to connect Tableau with R, running linear regression models.
This Tableau also covers topic like Installing Tableau, Basic scripting in R, Importing data, Setting up R on Tableau Server, etc.
Course link: https://www.lynda.com/Tableaututorials/IntegratingTableauRDataScience/5536982.html
Offered by: Duke University
Instructors: Daniel Egger & Jana Schaich Borg
Price: $49
The important skill that any professional data analysts should have is its ability to communicate practical implications of quantitative analyses to any audience member. Business should be conveyed in a way that it is understood by nontechnical people.
In this course, the student will able to know how to communicate businessrelevant implications of data analyses. In the end, the learner will able to know how to structure data analysis projects effectively. The student needs to pass all graded assignments to clear this course.
Course link: https://www.coursera.org/learn/analyticstableau
Offered by: University of California
Instructors: Suk Brar
The course is suited for beginner level learner. It is designed to people who have some fundamental data visualization knowledge, who are familiar with Tableau and like to gather more knowledge about this subject.
Visual Analytics with Tableau course teaches how to create custom and quick table calculations and how to create parameters. The course also gave information about mapping and explore and how Tableau can use various types of geographic data.
Course Link: https://www.coursera.org/learn/datavizvisualanalytics
Offered by: ExcelR Solutions
Price: $50
This course talks about several types of Data mining techniques. This course also covers usage of R for building various models, KMeans clustering algorithm & how to use R to accomplish the same.
In this course, R is explained thoroughly including analytical concepts behind applicable Data Mining Techniques. Finally, the course ends with an explanation of clustering using Tableau and statistics behind clustering along with interview questions for job seekers.
Course link: https://www.udemy.com/learndataminingclusteringsegmentationusingrtableau/
Offered by: Super Data Science Team
Instructor: Kirill Eremenko
Price: $140
This is Tableau Interview Questions course to maximize your chances of getting a data analytics or Tableau developer or analyst job. The course is broken up into three sections based on the question types: Simple Questions, Medium Questions, and Difficult Questions.
The course contains 2.5 hours of video training.
Course link: https://www.udemy.com/tableauinterview/
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