Duration

7 Classes 14hours

Categories

Data Analyst

Download

Brouchure

4.5

⭐⭐⭐⭐⭐

Overview

This course covers the fundamentals of data analysis, focusing on key concepts, tools, and techniques used by data analysts. It explores data collection, cleaning, and visualization, as well as statistical analysis and interpretation. Participants will gain hands-on experience with data manipulation using tools like Excel, SQL, and Python libraries (such as Pandas and Matplotlib). The course also introduces machine learning basics for data analysis and emphasizes practical applications through case studies and a final project to analyze a real-world dataset and present actionable insights.

Career Opportunities

Data Analyst

Module Objective
Module 1: Introduction to Data Analysis
Understand the role of a data analyst and the basics of data analysis.
Module 2: Data Collection and Preparation
Learn how to collect, clean, and prepare data for analysis.
Module 3: Statistical Analysis and Techniques
Understand basic statistics and their application in data analysis.
Module 4: Data Visualization and Reporting
Learn how to visualize data and create reports to communicate findings.
Module 5: SQL for Data Analysts
Learn SQL for querying databases and extracting data for analysis.
Module 6: Introduction to Python for Data Analysis
Use Python for data manipulation and analysis.
Module 7: Introduction to R for Data Analysis
Learn R for data manipulation, analysis, and visualization.