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Data Analytics with python

Course Overview

The Data Analytics Course is designed to help learners transform raw data into meaningful insights that support business decision-making. This course focuses on practical, job-oriented skills using industry-standard tools and real-world datasets.

Students will learn how to collect, clean, analyze, visualize, and interpret data, making them ready for roles in analytics and business intelligence across multiple industries.

What You Will Learn?

Introduction to Data Analytics
  • What is Data Analytics?
  • Role of a Data Analyst
  • Types of data (structured & unstructured)
  • Data analytics lifecycle
  • Real-world applications of data analytics
  • Python basics & syntax
  • Variables, data types & operators
  • Conditional statements & loops
  • Functions & modules
  • Working with Python scripts & IDEs
  • Introduction to NumPy
  • Arrays & array operations
  • Indexing, slicing & reshaping
  • Mathematical & statistical functions
  • Performance benefits of NumPy
  • Introduction to Pandas
  • Series & DataFrames
  • Reading data from CSV, Excel & databases
  • Data cleaning & preprocessing
  • Handling missing & duplicate data
  • Filtering, sorting & grouping data
  • Descriptive statistics
  • Data summarization
  • Correlation & patterns
  • Data transformation techniques
  • Insights extraction from datasets
  • Introduction to data visualization
  • Matplotlib basics
  • Seaborn for statistical graphics
  • Creating charts: line, bar, histogram, scatter, heatmap
  • Best practices for data presentation
  • Basics of databases
  • Connecting Python with SQL databases
  • Fetching & analyzing database data
  • Practical use case

Course Curriculum

12 Months

Basic - Advance

English, Bengali, Hindi

After Completed

12th Pass/any Graduate

Data Analyst /Reporting Analyst

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