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Programming for Data Science
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MIT IDSS
12 weeks • Online
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“Learning Data Science: Mastering Statistics, Programming, Data Visualization, Machine Learning, and Real-World Problem-Solving”
Learning data science is an exciting journey that combines various disciplines.
• Statistics: Understanding data distributions, probabilities, and hypothesis testing.
• Programming: Using languages like Python and R to manipulate and analyze data.
• Data Visualization: Creating insightful charts and graphs with tools.
• Machine Learning: Building predictive models using algorithms such as regression, classification, and clustering.
• Real-World Applications: Solving practical problems through projects and case studies.
India
“Introduction to Data Science Course”
It was a good experience, excellent learning improved. I had the opportunity to take this module over the pandemic summer of 2020. Overall, I really enjoyed this course. It's a solid module with a broad yet thorough overview of the data science landscape. It's advisable to be fluent in Python at a basic to intermediate level prior to commencing because it will allow you to focus on understanding and absorbing the technical aspects of the course, and there is a lot to absorb!
India
“Application-Oriented Learning: Reinforcing Hands-On Skills with Relational Databases”
Problem Solving & Critical Thinking:
Breaking down queries and understanding the nuances of SQL operations helped me think logically about data manipulation. Handling constraint-based data entry improved my troubleshooting skills in database scenarios.
India
“Content Quality and Course Structure in Data Science”
Organization: Is the course well-structured with a clear roadmap? Does it progress logically from basic to more complex topics?
Modules: Are the modules well-defined and focused on specific topics like statistics, programming, data manipulation, visualization, etc.?
India
“Data Science: A Combination of Multiple Disciplines”
A data scientist requires expertise in several backgrounds: Machine Learning, Statistics, Programming (Python or R), Mathematics, Databases. A Data Scientist must find patterns within the data. Before he/she can find the patterns, he/she must organize the data in a standard format.
Nigeria
“It Was Straight to the Point and Easily Understood”
Keep up the good work. I loved everything about the course and I learned so much.
Abdul Basit
“Amazing Teaching Skills”
I appreciate the clear explanation of how foundational mathematics and programming skills are essential in data science. The lecture effectively outlined the educational paths and practical skills needed, making the field more accessible. It also highlighted that a PhD is not a prerequisite, broadening the scope for entry into data science.
India
“Data Science: Big Data, SQL, NoSQL, and Time Series”
Topic depth well explained and easy to follow and understand.
Saudi Arabia
“Very Helpful Course: Well Structured and Delivered”
First, I liked the topic, and I think it is covered thoroughly. I also liked the enthusiasm of the instructor and his way of delivery.
India
“Easy to Learn and Follow, Good Subject Depth”
Can you give me more examples and programs depending on the topic?
Meet your faculty
Meet industry experts who will teach you relevant skills in Programming for Data Science
Dr. Abhinanda Sarkar
Senior Faculty & Director Academics, Great Learning
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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.
Mr. Bharani Akella
Data Scientist
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.
Denver Dias
Senior Data Science Consultant
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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
Mr. Bharani Akella
Data Scientist
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.
Denver Dias
Senior Data Science Consultant
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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
Mr. Vishal Padghan
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
Mr. R Vivekanand
Co-Founder and Director
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Expert in data visualization and marketing econometrics with 10+ years
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Qualified Tableau trainer passionate about teaching business analytics
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