# 40+ BEST Data Science & Data Analysis Courses Online (2022)

Data science has become the de-facto 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 Data Science skills weather you Beginner or Experienced in this industry.

DataScience is an interdisciplinary science and requires knowledge of

- Best Basic Online Data Science Courses
- Best R Programming Courses
- Best Python Courses
- Best Tableau Courses

## Top Data Science Courses & Certifications: [Free/ Paid]

Click on the above links to navigate to the top data science courses in the above category

## Best Basic Online Data Science Courses

Here are the Top 3 Courses handpicked by our experts

Rank | Course Name | Instructor | Price | Link |
---|---|---|---|---|

1 | Careers in Data Science A-Z by Udemy | Super Data Science | Learn More | |

2 | Data Science Specialization by Coursera | Johns Hopkins University | $49 | Learn More |

3 | Data Science by Edx | Harvard University | $99 | Learn More |

Below is complete list of courses in DataScience in order of ranking

### 1) Careers in Data Science A-Z by Udemy

**Offered by: **Super Data Science Team

**Instructor: **Kirill Eremenko & Hadelin de Ponteves

**Price: $200 $10**

This self-paced video learning course gives you details on how to become a top data scientist. It is one of the best data science courses online 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 30-day money back guarantee, and the instructors are active on the support forum.

**Course link: **https://www.udemy.com/careers-in-data-science-a-ztm/

### 2) Data Science Specialization by Coursera

**Offered by: **Johns Hopkins University

**Instructors: **Roger D. Peng, Brian Caffo, Jeff Leek

**Price: $49**

This Specialization data science training 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 real-world data. After the end, of course, students will have a portfolio to demonstrate their knowledge.

**Course Link: ** https://www.coursera.org/specializations/jhu-data-science

### 3) Data Science by Edx

**Offered by: Harvard University**

**Instructor:** Rafael Irizarry

**Price: $99**

This six-week data science course requires 3-4 hours of working effort on the part of the learner. In this data science course, you can learn important data acquisition, exploration, and visualization concepts. It is one of the best data science course online that covers real-world application-oriented examples like how to build a cloud data science solution using the Microsoft Azure Machine learning platform.

This course covers topics like exploring the data science process, probability and statistics in data science, Data ingestion, cleansing, transformation, visualization, introduction to machine learning, etc.

**Course link: **https://www.edx.org/professional-certificate/harvardx-data-science

### 4) Microsoft Professional Orientation: Data Science by Edx

**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. It is one of the best course for data science that 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://learning.edx.org/course/course-v1:Microsoft+DAT101x+2T2017/home

### 5) A Crash Course in Data Science by Coursera

**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/data-science-course

### 6) Data Science Foundations: Fundamentals by Linkedin

**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 data science online 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.linkedin.com/learning/data-science-foundations-fundamentals-5

### 7) Data Science: The Big Picture by Pluralsight

**Instructor:** Matthew Renze

**Price: $29.99**

This is a short beginner course with a run time of 1 hour and 9 minutes. It is one of the best courses for data science that 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 high-level 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/data-science-big-picture

### 8) Data Scientist with Python by DataCamp

**Price: $25**

**Instructors: **Filip Schouwenaars, Hugo Bowne-Anderson, 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/data-scientist-with-python

### 9) Data Science by Edx

**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 real-world 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 large-scale 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/uc-san-diegox-data-science

### 10) Machine Learning A-Z™: Hands-On Python & R in Data Science

**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/

## Best R Programming Courses

Here are the Top 3 Courses handpicked by our experts

Rank | Course Name | Instructor | Price | Link |
---|---|---|---|---|

1 | R Programming A-Z™: R for Data Science with Real Exercises by Udemy | Super Data Science Team | Learn More | |

2 | Introduction to R for Data Science by Edx | Microsoft | $99 | Learn More |

3 | R Programming by Coursera | Johns Hopkins University | $49 | Learn More |

Below is complete list of courses in R in order of ranking

### 1) R Programming A-Z™: R for Data Science with Real Exercises by Udemy

**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 step-by-step 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 on-demand video with hands-on exercises. You can access the course on desktop, mobile, and TV

**Course link: **https://www.udemy.com/r-programming/

### 2) Introduction to R for Data Science by Edx

**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. It is one of the best data science programs online that can be finished in 4 weeks’ time if learner gives just 2-3 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://learning.edx.org/course/course-v1:Microsoft+DAT204x+6T2016/home

### 3) R Programming by Coursera

**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/r-programming

### 4) Data Science: R Basics by Edx

**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/data-science-r-basics

### 5) Data Science and Machine Learning Bootcamp with R by Udemy

**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/data-science-and-machine-learning-bootcamp-with-r/

### 6) R Programming: Advanced Analytics in R for Data Science by Udemy

**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 date-times in R. After the end of every module self-learning exercise is given to take Data Science career into the next level.

**Course link: **https://www.udemy.com/r-analytics/

### 7) Applied Statistical Modeling for Data Analysis in R

**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 real-life 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/applied-statistical-modeling-for-data-analysis-in-r/

### 8) R by Linkedin

**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.linkedin.com/learning/learning-r-2

### 9) Programming with R for Data Science by Edx

**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 4-8 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://learning.edx.org/course/course-v1:Microsoft+DAT209x+5T2016/home

### 10) Data Science with R by Pluralsight

**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/r-data-science

### 11) Statistics and R by Edx

**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 self-paced learning course covers topics like Statistics and R for the Life Sciences, introduction to Linear Models and Matrix Algebra, High-Dimensional Data Analysis, High-performance 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/statistics-and-r

### 12) R Career Track by Datacamp

**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/data-scientist-with-r

### 13) Statistics with R Specialization by Coursera

**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

## Best Python Courses

Here are the Top 3 Online Python Courses handpicked by our experts

Rank | Course Name | Instructor | Price | Link |
---|---|---|---|---|

1 | Python for Data Science and Machine Learning Bootcamp By Udemy | Jose Portilla | Learn More | |

2 | Applied Data Science with Python Specialization by Coursera | University of Michigan | $49 | Learn More |

3 | Introduction to Python for Data Science by Edx | Microsoft | $99 | Learn More |

Below is complete list of courses in Python in order of ranking

### 1) Python for Data Science and Machine Learning Bootcamp By Udemy

**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 real-life 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/python-for-data-science-and-machine-learning-bootcamp

### 2) Applied Data Science with Python Specialization by Coursera

**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/data-science-python

### 3) Introduction to Python for Data Science by Edx

**Offered by: **Microsoft

**Instructor: **Filip Schouwenaars, Jonathan Sanito

**Price: **Free + $99 Verified Certificate

It is an introductory level self-paced 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://learning.edx.org/course/course-v1:Microsoft+DAT208x+3T2018/home

### 4) Data Processing Using Python by Coursera

**Offered by: **Nanjing University

**Instructor: **Zhang Li

**Price: Free**

The course mainly aims for non-computer 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/python-data-processing

### 5) Python for Data Science by Edx

**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, open-source, tools needed to analyze data. It is one of the best free data science courses that covers how to use python, Jupyter notebooks, numpy, pandas, matplotlib, git and various other tools.

It is a ten weeks course that needs 8-10 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/python-for-data-science-2

### 6) Programming with Python for Data Science by Edx

**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 live-data or inspired by real-world domains.

**Course link: **https://learning.edx.org/course/course-v1:Microsoft+DAT210x+2T2017/home

### 7) Data Science, Deep Learning, & Machine Learning with Python by Udemy

**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 hands-on 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, K-Means Clustering, Principal Component Analysis, and Train/Test and cross-validation Bayesian Methods, Decision Trees and Random Forests, Multivariate Regression, Multi-Level Models, Support Vector Machines, Reinforcement and Ensemble Learning.

**Course link: **https://www.udemy.com/data-science-and-machine-learning-with-python-hands-on/

### 8) Deep Learning Prerequisites: Linear Regression in Python by Udemy

**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 is one of the best data science certification courses that gives information about popular techniques used in machine learning, data science, and statistics: linear regression. It also covers the and applications to real-world 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/data-science-linear-regression-in-python/

### 9) Deep Learning Prerequisites by Udemy

**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/data-science-logistic-regression-in-python/

### 10) Python for Data Science Essential Training by Datacamp

**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/data-scientist-with-python

## Best Tableau Courses

Here are the Top 3 Tableau Courses handpicked by our experts

Rank | Course Name | Instructor | Price | Link |
---|---|---|---|---|

1 | Tableau 10 A-Z: Hands-On Tableau Training for Data Science | Super Data Science | Learn More | |

2 | Data Visualization with Tableau Specialization | University of California | $49 | Learn More |

3 | Tableau Expert: Top Visualization Techniques in Tableau 10 | Super Data Science | Learn More |

Below is complete list of courses in Tableau in order of ranking

### 1) Tableau 10 A-Z: Hands-On Tableau Training for Data Science By Udemy

**Offered by:** Super Data Science Team

**Instructor:** Kirill Eremenko

**Price: **~~$200~~ $20

The course helps you to step-by-step learn Tableau 10 for Data Science. The course contains 7.5 hours of HD video training with Real-Life 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/

### 2) Data Visualization with Tableau Specialization

**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. It is one of the best online courses for data science that 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/data-visualization-tableau

### 3) Tableau Expert: Top Visualization Techniques in Tableau 10

**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 real-life 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/mastering-top-visualization-techniques-in-tableau

### 4) Integrating Tableau and R for Data Science by Linkedin

**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.linkedin.com/learning/integrating-tableau-and-r-for-data-science

### 5) Data Visualization and Communication with Tableau

**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 non-technical people.

In this course, the student will able to know how to communicate business-relevant 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/analytics-tableau

### 6) Visual Analytics with Tableau

**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/dataviz-visual-analytics

### 7) Learn Data Mining – Clustering Segmentation Using R, Tableau by Udemy

**Offered by: ExcelR Solutions**

**Price: $50**

This course talks about several types of Data mining techniques. It is one of the best programs for data science that covers usage of R for building various models, K-Means 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/learn-data-mining-clustering-segmentation-using-rtableau/

### 8) Tableau Interview Q&A: Tableau for Data Science Careers

**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/tableau-interview/

## FAQ:

## ❓ What is Data Science?

## ❗ What is Data Analysis?

## 🏅 What are the job prospects after learning Data Science?

- Data Scientist
- Data Engineer
- Data Analyst
- Statistician
- Data Architect
- Data Admin
- Business Analyst
- Data/Analytics Manager

## 🚀 Which are the Best Online Data Science Courses?

- Careers in Data Science A-Z by Udemy
- Data Science Specialization by Coursera
- Data Science Essentials by Edx
- Data Science Foundations: Fundamentals by Linkedin
- Data Scientist with Python by DataCamp
- Data Science and Machine Learning Bootcamp with R by Udemy
- Applied Statistical Modeling for Data Analysis in R
- Tableau Expert: Top Visualization Techniques in Tableau 10
- Python for Data Science by Edx