Course Overview
Data is everywhere, and knowing how to analyze it can open doors to exciting career opportunities. This track takes a hands-on approach, helping you solve real-world data challenges through projects and case studies. You’ll work with datasets, identify patterns, and turn raw data into meaningful insights.
The course focuses on problem-solving and critical thinking, ensuring you can confidently tackle complex data problems. Through interactive learning and practical exercises, you’ll develop the skills to interpret trends, make data-driven decisions, and communicate insights effectively in any industry.
What You’ll Experience
- Develop a data-driven mindset and approach problems analytically.
- Work on real-world datasets to uncover trends and patterns.
- Gain hands-on experience with industry-relevant case studies and projects.
- Learn to communicate insights effectively, making data-driven decisions.
- Engage in collaborative problem-solving and interactive exercises.
- Experience the full data analytics workflow, from collection to visualization.
Syllabus
Excel for Data Analytics
- Introduction to Excel
- Data Handling & Analytics
- Advanced Formulas & Functions
- Data Visualization in Excel
- Excel Automation
- Case Study & Hands on Projects
Sql for data analytics
- Introduction to data bases and sql
- Basic Sql Queries
- Data Aggregation & Grouping
- Advanced SQL concepts
- SQL for Manipulation
- SQL Optimization & Best Practices
- Case Study & Projects
Python For Data Analytics
- Introduction to Python
- Data structures and manipulation
- Exploratory Data Analytics (EDA)
- Data Transformation and feature Engineering
- Introduction to machine learning with python
- case study and projects
Power BI For Data Analytics
- Introduction to Power BI
- Data Transformation with Power Query
- Data Modelling
- Data Visualization In Power BI
- Advanced Power Bi Features
- Case Study & Hands on Projects
Learning Outcomes
- Master Data Analytics Tools
- Develop Strong Data Manipulation Skills
- Enhance Data Visualization & Reporting
- Understand Data-Driven Decision Making
- Implement Machine Learning Basics
- Work on Real-World Projects
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