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Skillonit Data Science Program

Data Science Course in India: Learn Python, SQL, Machine Learning and AI

Build the practical skills required to understand data, find meaningful patterns, create visual insights and develop machine learning solutions. Skillonit's Data Science Course is a structured, beginner-friendly program that takes learners from essential computer and programming concepts to data analysis, statistics, visualization, machine learning, AI fundamentals and portfolio-ready projects. The course is designed for students, graduates, freshers, working professionals, career switchers, entrepreneurs and anyone who wants to learn Data Science through guided practice rather than theory alone.

What you will learn

  • Data Science, Analytics and the Modern Data Workflow: Data Science, Data Analytics, Machine Learning, Artificial Intelligence, Business Intelligence, analytical questions, data types, project lifecycles, data quality, ethics and communication.
  • Computer, File, Spreadsheet and Development Environment Basics: files, folders, file extensions, cloud storage, command-line basics, spreadsheet essentials, Python setup, Jupyter Notebook, package installation and notebook organization.
  • Python Programming Foundations: variables, values, data types, type conversion, operators, input and output, comments, conditional statements, loops, functions, parameters, return values, scope and error reading.
  • Python Data Structures and Practical Problem Solving: strings, lists, tuples, dictionaries, sets, indexing, slicing, iteration, searching, sorting, aggregation, nested structures, comprehensions and basic file handling with text, CSV and JSON.
  • NumPy for Numerical Computing: arrays, shapes, dimensions, selection, reshaping, vectorized operations, indexing, slicing, broadcasting, aggregation, statistical functions, random data and missing numerical values.
  • Pandas for Data Analysis: Series, DataFrames, CSV and Excel imports, indexes, columns, row and column selection, filtering, sorting, summaries, grouping, aggregation, merging, joining, concatenation, date handling and text operations.