Programming for Data Science

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Programming for data science is essential for extracting insights from data. It enables data manipulation, analysis, and model building using programming languages and tools.

Specialized courses in data science programming provide comprehensive coverage of essential concepts, equipping you with the skills to handle large datasets, implement algorithms, and uncover patterns.

Gaining proficiency in programming languages through these courses empowers you to explore and analyze data, making it a vital skill for tackling complex challenges and driving data-driven decisions.

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UNIVERSITY

Great Learning

Generative AI for Practitioners

12 weeks • Online

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Walsh College

MS in Artificial Intelligence & Machine Learning

2 Years • Online

UNIVERSITY

MIT IDSS

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact

12 weeks • Online

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MIT Professional Education

No Code and Agentic AI

14 Weeks • Online

Learn from MIT Faculty

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Johns Hopkins University

Applied Generative AI and Agentic AI

16 weeks • Online

FREE

4.5 73.4K+ Learners 1 hr

Introduction to Data Science

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

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FREE

4.43 120.9K+ Learners 2 hrs

Python for Data Science

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

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FREE

4.55 15.7K+ Learners 2 hrs

R for Data Science

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

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FREE

4.49 20.8K+ Learners 1.5 hrs

Excel for Data Science for Beginners

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

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FREE

4.51 191.9K+ Learners 3 hrs

SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

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FREE

4.51 103.8K+ Learners 1.5 hrs

Exploratory Data Analysis Essentials

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

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FREE

Intro to Exploratory Data Analysis with Excel

4.59 16.7K+ Learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

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FREE

Foundations of Data Visualization using Tableau

4.52 6.1K+ Learners 2 hrs

Foundations of Data Visualization using Tableau

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

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FREE

4.52 117.3K+ Learners 2 hrs

Data Visualization using Tableau

Skills: Business Intelligence Fundamentals, Data Visualization Principles, Introduction to Tableau, Understanding Data Types, Navigating the Tableau Interface, Creating Dashboards, Visual Analytics Techniques, Hands-on Tableau Exercises, Integrating Data Sources.

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FREE

4.52 409.1K+ Learners 2 hrs

Data Visualization With Power BI

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

View Course

FREE

Introduction to Data Science

4.5 73.4K+ Learners 1 hr

FREE

Python for Data Science

4.43 120.9K+ Learners 2 hrs

FREE

R for Data Science

4.55 15.7K+ Learners 2 hrs

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

FREE

Excel for Data Science for Beginners

4.49 20.8K+ Learners 1.5 hrs

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

FREE

SQL for Data Science

4.51 191.9K+ Learners 3 hrs

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

FREE

Exploratory Data Analysis Essentials

4.51 103.8K+ Learners 1.5 hrs

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

FREE

Intro to Exploratory Data Analysis with Excel

4.59 16.7K+ Learners 1.5 hrs

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

FREE

Foundations of Data Visualization using Tableau

4.52 6.1K+ Learners 2 hrs

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

FREE

Data Visualization using Tableau

4.52 117.3K+ Learners 2 hrs

FREE

Data Visualization With Power BI

4.52 409.1K+ Learners 2 hrs

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

Explore Courses

Get started with these courses

FREE

4.52 6.1K+ Learners 2 hrs

Foundations of Data Visualization using Tableau

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

View Course

FREE

4.55 15.7K+ Learners 2 hrs

R for Data Science

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

View Course

FREE

4.52 409.1K+ Learners 2 hrs

Data Visualization With Power BI

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

View Course

FREE

4.51 191.9K+ Learners 3 hrs

SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

View Course

FREE

4.43 120.9K+ Learners 2 hrs

Python for Data Science

View Course

FREE

4.52 117.3K+ Learners 2 hrs

Data Visualization using Tableau

View Course

FREE

4.51 103.8K+ Learners 1.5 hrs

Exploratory Data Analysis Essentials

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

View Course

FREE

4.5 73.4K+ Learners 1 hr

Introduction to Data Science

View Course

FREE

4.49 20.8K+ Learners 1.5 hrs

Excel for Data Science for Beginners

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

View Course

FREE

4.59 16.7K+ Learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

View Course

New

FREE

4.52 6.1K+ Learners 2 hrs

Foundations of Data Visualization using Tableau

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

View Course

FREE

4.55 15.7K+ Learners 2 hrs

R for Data Science

Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

View Course

Popular

FREE

4.52 409.1K+ Learners 2 hrs

Data Visualization With Power BI

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

View Course

FREE

4.51 191.9K+ Learners 3 hrs

SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

View Course

FREE

4.43 120.9K+ Learners 2 hrs

Python for Data Science

View Course

FREE

4.52 117.3K+ Learners 2 hrs

Data Visualization using Tableau

View Course

FREE

4.51 103.8K+ Learners 1.5 hrs

Exploratory Data Analysis Essentials

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

View Course

FREE

4.5 73.4K+ Learners 1 hr

Introduction to Data Science

View Course

FREE

4.49 20.8K+ Learners 1.5 hrs

Excel for Data Science for Beginners

Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

View Course

FREE

4.59 16.7K+ Learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

View Course

Learner reviews of the Free Programming for Data Science Courses

Our learners share their experiences of our courses

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Shuddhashree Mukherjee

5.0

★★★★ ★

India

“Very Detail-Oriented and In-Depth Learning”

Really interesting curriculum. I enjoyed the course because it provided a hands-on approach to data science, blending theory with practical application. The content was well-structured and engaging, with real-world examples that made complex concepts easier to understand. It also helped me build valuable skills that I can directly apply in my career.

Ismaeel Olayiwola

5.0

★★★★ ★

Nigeria

“Course Was Explanatory, Good and Clear Delivery”

The instructor was clear and concise, used relatable examples, and explanations were thorough.

Павел Твердовский

5.0

★★★★ ★

“Clear Explanations and Helpful Answers”

I appreciated the detailed responses and how they helped clarify complex concepts. The examples were very practical and easy to understand.

Imane ALOUI

5.0

★★★★ ★

Morocco

“Good Experience Learning New Stuff”

I am actually switching careers, and I found this course enjoyable.

Darry Diaz

5.0

★★★★ ★

Philippines

“Learned a Lot About the Introduction to Data Science”

I liked it all, from the lectures to the quizzes, and especially the free certificate that comes with it.

TUMUKUNDE Marseillaise

4.0

★★★ ★ ☆

“Introduction to Data Science with Good Understanding”

Data Science is a rapidly evolving field that holds the potential to transform industries, improve lives, and drive innovation. By continuously developing skills and staying updated with technological advances, one can excel in this exciting domain.

Ganesh Ram

5.0

★★★★ ★

India

“Learned Data Science Easily and It Is Very Easy to Understand”

I wanted to take a moment to express my heartfelt thanks for your help with teaching me about data structures. Your guidance and support made a complex topic so much easier to understand, and I truly appreciate the time and effort you invested in my learning. Your enthusiasm for the subject has inspired me to dive deeper into it, and I’m grateful for your encouragement along the way. Thank you once again for being such a wonderful teacher and mentor!

Pratik Guha

4.0

★★★ ★ ☆

India

“Very Good Experience and Quite Easy to Follow”

Overall, I feel more confident in my skills, and I’m looking forward to applying what I’ve learned in real-world scenarios. I would highly recommend this course to others interested in Data Science. Thank you for a great learning experience!

Yatree Patel

5.0

★★★★ ★

India

“My First Introduction to Data Science”

Thank you for providing this free course. It is very helpful to students like me who are confused about whether they should pay high fees for those courses just to know if they are understanding that course or not. Very helpful.

Aditya Singh

5.0

★★★★ ★

India

“Easy and Simple Explanation with Suitable Examples”

The explanation is very good and very easy to understand, especially because of the suitable examples. Because of the video session, we can also repeat the video and rewind it for better understanding.

Meet your faculty

Meet industry experts who will teach you relevant skills in Programming for Data Science

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30+ years of experience in data science, ML, and analytics.
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Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
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Expert in A/B testing, ML models, and predictive analytics

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Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
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Expert in A/B testing, ML models, and predictive analytics

Vishal has 3+ years of experience in the field of Data Science, Digital Marketing and Cloud Computing. He has expertise in Cloud platforms Like AWS, Azure and has exposure to Paid Marketing, Organic Marketing and Content. He has been in the Digital space from the last 3 years and also, he has been involved in teaching numerous classes for Digital Marketing and Cloud Computing