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PROFESSIONAL ADVANCED: DATA ANALYTICS

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Duration

3 Months

Package

Professional Advanced

Students Enrolled

500+

COURSE OVERVIEW

PROFESSIONAL ADVANCED: DATA ANALYTICS

Become a skilled data analyst by learning to collect, clean, analyze, and visualize data effectively. This program teaches Python, SQL, Excel, statistics, and data visualization to make data-driven decisions and derive actionable insights from real-world datasets.

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What you’ll learn

  • Use Python with Pandas and NumPy for data cleaning, transformation, and automation
  • Write SQL queries to retrieve, join, and manipulate structured data
  • Analyze and visualize data using Excel, Matplotlib, Seaborn, and Power BI
  • Apply core statistical concepts like correlation, hypothesis testing, and standard deviation
  • Communicate insights clearly through impactful data visualizations

Prerequisites & Who can Enroll

  • Anyone interested in learning Java or coding from scratch
  • Beginners aiming to become full-stack developers
  • Students or professionals starting a career in web or software development

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Curriculum

PYTHON

Learn Python fundamentals and use libraries like Pandas and NumPy for data cleaning, transformation, and automation in real-world analytics tasks. 

SQL

Write SQL queries to retrieve, join, and manipulate structured data from relational databases for effective data analysis.

STATISTICS

Understand core statistical concepts like mean, median, standard deviation, correlation, and hypothesis testing for data interpretation and decision-making

VISUALIZATION

Create impactful data visualizations using Matplotlib, Seaborn, or Power BI to communicate insights clearly and effectively.

EXCEL

Use Excel for organizing, analyzing, and visualizing data with functions, formulas, pivot tables, and charts.