An NEP & NSQF Aligned Curriculum
Data Science using Python
Our Data Science using Python course equips you with the fundamentals of Python programming and the essential skills to extract valuable insights from data using powerful Python libraries. Whether you're new to programming or looking to enhance your data analysis capabilities, this course provides the tools and knowledge needed to succeed in the data-driven world. Join us and transform data into actionable intelligence.
Total Duration :
30 Hours
Curated by Maxine Guerra & Joe Smith
Curated by
Rakhee Das, Rocky Jagtiani
Faculty at NMIMS, Corporate Trainer
Credit Points
University of mumbai credits
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Data Science using Python Program Highlights
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Industry based case study
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Data Science using Python - Career Path
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Industry Recognized Data Science using python Certification
Share your certificate and gain visibility
Gain a competitive edge and earn a valuable certification by enrolling in the “Data Science using Python” course. Demonstrate your expertise in data analysis and Python programming to enhance your career prospects. Impress recruiters and secure your first job in the data science industry.
The learning path for Data Science using Python
Module 1
Core Python Programming
Module 2
Python Data Science Libraries
What You’ll Learn
- Python Fundamentals: Gain a solid understanding of Python syntax, data types, operators, built-in functions, and their applications.
- Control Flow & Functions: Master control flow statements (if-else, loops) and create reusable code blocks using functions, modules, and packages.
- File I/O: Learn to read from and write data to files, enhancing your program’s interaction with external storage.
- Error Handling: Explore techniques for handling errors and exceptions, ensuring program robustness.
- NumPy: Learn about NumPy’s efficient arrays for numerical computations, mathematical functions, and linear algebra operations – the foundation for data manipulation.
- Pandas: Explore Pandas’ data structures: Series (one-dimensional) and DataFrames (tabular) for organizing and analyzing labeled data. You’ll gain skills in data cleaning, manipulation, and preparation for further analysis.
- Matplotlib: The data storyteller, creating various visualizations to bring your data to life.
- Scikit-Learn: Build and deploy machine learning models to unlock hidden patterns.
Know Your Instructor
Rakhee Das
Faculty at NMIMS
With 15+ years in Engineering Education and EdTech, Dr. Das excels in curriculum design, teacher training, project leadership, and research (Scopus, Springer, IEEE). Passionate about technical writing and machine learning, Dr. Das holds a PhD and specializes in Python and Deep Learning.
Rocky Jagtiani
Corporate Trainer
With 18+ years of experience, Mr. Jagtani has trained over 18,000 professionals in core programming, Python, Data Science, ML, and AI. A skilled trainer and content developer in Databases and Data Science, Mr. Jagtani is passionate about ML/NLP and IT recruitment.
Eligiblity, learnings and the opportunities
- Any under graduate or graduate wishing to start their career in Data Analytics or Data Science
- Hands on experience in SQL Python
- Programming Excel and Advanced Excel
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Dashboard creation with PowerBI
- Exploratory data analysis with Numpy, Pandas
- Extract Transform
- Load with Pandas
- Applied Data Scientist
- Data Analyst
- ML Engineer
- SQL Developer
- Power BI Developer
- Data Science Associate
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Students Testimonials
FAQs
Python’s ease of use and robust libraries, such as Pandas, NumPy, and Matplotlib, which simplify data processing and visualization, make it a vital tool for data science.
No prior Python knowledge is needed. Basic programming and statistics knowledge can be helpful but is not required for Data Science using Python courses.
Yes, you will receive a certification upon completing the “Data Science using Python” course, enhancing your job prospects.
You’ll be able to analyze data, create visualizations, and build machine learning models, applying these skills to real-world problems.
Yes, the course includes multiple projects to practice and showcase your Data Science using Python skills.
