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Python for AI & Data Science

Learning Format

Online mode

Total training duration

80-90 hrs (2 months)

Syllabus

8 weeks

Certification

Yes

Python for AI & Data Science

Python for AI & Data Science is a foundational course that equips learners with the programming skills needed to analyze data, build predictive models, and develop intelligent applications. Python’s simplicity and powerful libraries like NumPy, Pandas, Matplotlib, and TensorFlow make it the preferred language for data manipulation, machine learning, and AI development. This course helps learners gain practical experience in solving real-world problems using data-driven and AI-powered solutions.

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Syllabus Summary

  • Python refresher and environment setup
  • Data types, variables, operators, loops, functions
  •  Overview of Python libraries ecosystem
  • Assignment at end of week
  • Advanced Python: OOP, file handling, error handling
  •  Working with modules and packages
  •  Assignment at end of week
  • NumPy for numerical computing
  •  Arrays, indexing, broadcasting
  • Assignment at end of week
  • Pandas for data manipulation
  • DataFrames, joins, groupby, aggregations
  • Assignment at end of week
  • Mock Interview 1
  • Matplotlib & Seaborn for data visualization
  •  Histograms, scatter plots, heatmaps
  •  Assignment at end of week
  • Data wrangling & cleaning techniques
  •  Handling missing values, duplicates, outliers
  •  Assignment at end of week
  • Exploratory Data Analysis project
  •  EDA on real-world dataset
  • Assignment at end of week
  • Applied statistics for AI
  • Final project presentation
  • Mock Interview 2
  • Assignment at end of week

Course Summary

Eligibility

Tech & Non-Tech Working professional, Freshers, Graduate from any domain.

Live Doubt Solving

Get your queries solved with daily dedicated doubts solving sessions.

Instructor

Experts and trainer for top-tech companies.

Certification

10+ ISO Globally recognized certified

Mode of Learning

100% Live Learning with experienced instructors and hands-on sessions.

Real time projects

Get practical experience with real-world projects for a career in analytics.

Certification

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