1000+ Courses for Free
Programming for Data Science
University Programs
UNIVERSITY
UNIVERSITY
UNIVERSITY
UNIVERSITY
MIT IDSS
12 weeks • Online
UNIVERSITY
UNIVERSITY
BASICS
Get started with these courses
India
“Introduction to Data Science involves understanding the basics of how data science works and its role in analyzing and interpreting data to make informed decisions.”
1. What is Data Science?
Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, computer science, and domain knowledge to understand and solve complex problems.
2. Key Components of Data Science
Data Collection: Gathering data from various sources such as databases, APIs, surveys, and web scraping.
Data Cleaning: Processing and cleaning data to remove inconsistencies, errors, and missing values.
Data Exploration: Analyzing data to uncover patterns, trends, and relationships through descriptive statistics and visualizations.
Data Modeling: Applying statistical and machine learning models to make predictions or classifications based on the data.
Data Interpretation: Translating the results of data analysis into actionable insights and recommendations.
Data Visualization: Creating visual representations of data and results to effectively communicate findings to stakeholders.
3. Tools and Technologies
Programming Languages: Python and R are commonly used for data manipulation, analysis, and modeling.
Libraries and Frameworks:
Python: Pandas, NumPy, Scikit-learn, TensorFlow, Keras
R: dplyr, ggplot2, caret, randomForest
Data Visualization Tools: Matplotlib, Seaborn, Tableau, Power BI
Big Data Technologies: Hadoop, Spark, MongoDB, Cassandra
4. Data Science Process
Problem Definition: Clearly define the problem or question that needs to be answered.
Data Acquisition: Collect relevant data from various sources.
Data Preparation: Clean and preprocess the data to make it suitable for analysis.
Exploratory Data Analysis (EDA): Analyze the data to understand its structure and identify patterns.
Model Building: Develop and train models to make predictions or classifications.
Model Evaluation: Assess the performance of the models using metrics like accuracy, precision, recall, and F1-score.
Deployment: Implement the model in a real-world setting or integrate it into applications.
Monitoring and Maintenance: Continuously monitor the model’s performance and update it as needed.
5. Applications of Data Science
Business: Customer segmentation, market analysis, sales forecasting, and fraud detection.
Healthcare: Disease prediction, patient care optimization, and drug discovery.
Finance: Risk assessment, algorithmic trading, and credit scoring.
Retail: Inventory management, personalized recommendations, and customer behavior analysis.
Government: Public policy analysis, crime prediction, and resource allocation.
6. Skills Required
Statistical Analysis: Understanding statistical methods and probability.
Programming: Proficiency in programming languages such as Python or R.
Machine Learning: Knowledge of machine learning algorithms and techniques.
Data Manipulation: Skills in data cleaning, transformation, and analysis.
Communication: Ability to present findings and insights effectively to non-technical stakeholders.
7. Challenges in Data Science
Data Quality: Ensuring data accuracy, consistency, and completeness.
Scalability: Handling and processing large volumes of data.
Privacy and Security: Protecting sensitive information and complying with regulations.
Interpretability: Making complex models understandable to stakeholders.
Malaysia
“Journey into Data Science: My Experience with Great Learning's Introduction Course”
Embarking on my data science journey with Great Learning's Introduction to Data Science course was a pivotal experience. The course provided a solid foundation in key concepts, including data exploration, statistical analysis, and the fundamentals of machine learning. Through hands-on projects and real-world case studies, I gained practical skills in data manipulation, visualization, and modeling. The interactive nature of the course, combined with insightful lectures, allowed me to grasp complex ideas effectively. This experience not only deepened my understanding of data science but also fueled my passion to explore more advanced topics in the field.
“The Introduction to Data Science course provides a comprehensive overview of the fundamental concepts, tools, and techniques used in data science.”
It effectively covers essential topics such as data collection, cleaning, exploration, visualization, and predictive modeling, making it accessible for beginners while also providing value to those with some experience. The course emphasizes practical applications by incorporating hands-on projects, enabling students to apply what they learn to real-world scenarios.
“Data Science Beginner Course Introduction”
I really enjoyed my data science course! The blend of statistics, programming, and analytical thinking was fascinating. I loved learning how to extract insights from data and apply various machine learning techniques. The hands-on projects allowed me to work with real datasets, which made the concepts come alive. I also appreciated the collaborative environment, where sharing ideas with classmates enhanced my understanding. Overall, the course sparked my passion for data science and motivated me to explore it further.
India
“Valuable Learning Experience in Data Science”
I found the course to be highly informative and engaging. The blend of theoretical knowledge with practical applications made the learning process enjoyable and effective. The quizzes and assignments helped reinforce the concepts, and I particularly appreciated the instructor's clarity in presenting complex topics. Overall, it was an easy-to-follow course that I would recommend to others.
South Africa
“I Gained a Solid Foundation in Data Science Fundamentals”
This course has been instrumental in laying the groundwork for my data science journey, and I look forward to continuing my growth and development in this field.
United States
“Course on Introduction to Data Science”
It was easy to follow the videos and content. The graphical presentation was good.
United Kingdom
“Learning Data Science has been an incredibly rewarding journey, opening up a world of possibilities in understanding and making sense of complex data.”
Throughout my learning experience, I found that data science is as much an art as it is a science. It requires creativity, problem-solving, and the ability to adapt to different types of data and questions.
India
“A Solid Foundation in Data Science – Introduction to Data Science Course Review”
The Introduction to Data Science course offers a comprehensive overview of essential data science concepts, including data cleaning, exploration, and visualization. It also covers statistical methods, machine learning basics, and the use of popular tools like Python and R. With practical exercises and real-world case studies, this course is perfect for beginners looking to start their journey into the world of data science.
India
“An Engaging and Informative Course Experience”
I thoroughly enjoyed this course and found it to be highly informative and engaging. The curriculum was well-structured, covering a wide range of topics in depth. The instructors were knowledgeable and presented the material in a clear and concise manner. The quizzes and assignments were challenging yet fair, helping to reinforce the concepts learned. Overall, this course provided a comprehensive learning experience that was both enjoyable and educational.
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
-
◆
30+ years of experience in data science, ML, and analytics.
-
◆
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
-
◆
Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
-
◆
Expert in A/B testing, ML models, and predictive analytics
Denver Dias
Senior Data Science Consultant
-
◆
Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
-
◆
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
-
◆
Expert in data visualization and marketing econometrics with 10+ years
-
◆
Qualified Tableau trainer passionate about teaching business analytics
Media spotlight and awards
-
Wharton Online Kickstarts the First Cohort for Its 12-Week Advanced Digital Marketing and Growth Strategies Program in Collaboration With Great Learning
Read Article
-
3 ways women can reach the C-suite even though research shows the odds are against them
Read Article
-
Helping High School Students Develop Real-Life Tech Skills
Read Article
-
How this leader is morphing education to meet the needs of today’s economy
Read Article
-
How Upskilling Can Help You Advance in Your Career
Read Article
-
OPINION: Companies will be more likely to retain top talent by investing in employees’ professional growth and development
Read Article
-
Learning opportunities will cultivate a talented, motivated workforce
Read Article
-
Great Learning Collaborates with Wharton Online to Expand Access to Premier Business Courses
Read Article
-
The Great Resignation & The Future Of Work: Mohan Lakhamraju Of Great Learning On How Employers and Employees Are Reworking Work Together
Read Article
-
Hispanic Heritage Month: Great Learning celebrates the inspiring stories of resilience and courage of its Hispanic American Learners
Read Article
