Python for Data Science
Master Python for AI, ML, and Data Analytics with Hands-on Projects (Online & Offline Training Available)
- 100 Hours of immersive training with 60 hours of lectures + 40 hours of assignments
- Learn core Python + NumPy, Pandas, Matplotlib for real-world Data Science applications
- Industry-recognized certification from EICTA consortium
- Available in both Online & Offline (Classroom) formats
- Classroom batches are scheduled as follows: Batch 1: 4th–19th Dec 2025, Batch 2: 15th–30th Dec 2025, and Batch 3: First week of Jan 2026.
Select Mode:
Hybrid
Winter Training
Certification
Hybrid
Mode of Delivery
100 Hours
Course Duration
What you'll learn
- Master Python programming from basics to advanced concepts for Data Science.
- Perform data analysis using NumPy, Pandas, and Matplotlib.
- Clean, preprocess, and visualize real-world datasets.
- Apply EDA techniques to uncover insights and trends.
- Work with APIs, JSON, and perform web scraping with BeautifulSoup.
- Build practical skills in data preprocessing, scaling, and handling missing values.
- Prepare yourself for AI, ML, and Deep Learning career paths.
Skills you'll gain
Python ProgrammingData Handling & PreprocessingNumPy for Numerical ComputingPandas for Data AnalysisMatplotlib for Data VisualizationExploratory Data Analysis (EDA)API Integration & Web ScrapingFile & Exception Handling
Tools
Earn a career certificate
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Dual Learning Modes (Online & Offline)
Choose between flexible live online training or interactive classroom sessions with expert mentors.
100 Hours of Hands-On Training
Balanced curriculum with lectures + assignments ensures real-world skill development.
Industry-Recognized Certification
Get a Certificate of Completion from the EICTA consortium to showcase your expertise to employers.
Career-Focused Projects
Work on real-world applications that prepare you for AI, ML, and Data Analytics roles.
Classroom Batch Schedule
Classroom batches are scheduled as follows: Batch 1: 4th–19th Dec 2025, Batch 2: 15th–30th Dec 2025, and Batch 3: First week of Jan 2026.