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Objective of course Build a strong foundation in Python programming for practical applications.  Learn data handling, automation, and visualization skills. …

Original price was: ₹7,000.00.Current price is: ₹5,000.00.

Objective of course

  • Build a strong foundation in Python programming for practical applications. 
  • Learn data handling, automation, and visualization skills.
  • Learn Python libraries like NumPy, Pandas, and Matplotlib.
  • Prepare participants for job roles in programming, data analysis, and automation.

Job roles in industry

  • Python Developer
  • Data Analyst
  • Automation Engineer
  • API Developer

Included in this course

  • Python Basics
  • Data Handling
  • Automation
  • Hands on project
  • CV Making & Interview Preparation

Passing criteria

Learner needs to score minimum 60% to pass the exam. Scores are given for every quiz & assignment.

Course Currilcum

    • Setting up the environment (IDEs, Anaconda, Jupyter) Unlimited
    • Python basics: syntax, variables, data types, and operators. Unlimited
    • Control structures: loops and conditional statements. Unlimited
    • Functions, modules, and code organization. Unlimited
    • Hands-on exercises: writing simple programs. Unlimited
    • Data structures: lists, tuples, sets, and dictionaries. Unlimited
    • File handling: reading and writing files (text, CSV, JSON). Unlimited
    • Introduction to NumPy for numerical operations. Unlimited
    • Basics of Pandas for data manipulation and analysis. Unlimited
    • Hands-on exercises: working with datasets. Unlimited
    • Working with regular expressions for data extraction. Unlimited
    • Automating tasks using Python scripts. Unlimited
    • Introduction to web scraping with BeautifulSoup/Requests. Unlimited
    • Hands-on exercises: automating file management, data fetching. Unlimited
    • Introduction to Matplotlib and Seaborn for visualization. Unlimited
    • Creating plots: line charts, bar charts, scatter plots, and histograms. Unlimited
    • Exploratory data analysis (EDA) using visual tools. Unlimited
    • Project 1: Building a data visualization dashboard for insights. Unlimited
    • Introduction to OOP (Object-Oriented Programming). Unlimited
    • Error handling and debugging. Unlimited
    • Overview of Python libraries for Machine Learning (scikit-learn). Unlimited
    • End-to-end solution on a real-world dataset (data cleaning, analysis, visualization). Unlimited
    • CV Making & Interview Preparation Unlimited
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