Overview

This 10-week course provides a comprehensive introduction to Data Analysis Essentials. Participants will gain hands-on skills to collect, clean, analyze, and visualize data using tools like Excel, Python, and Power BI. The course focuses on turning raw data into actionable insights, building interactive dashboards, and creating reports that drive informed decision-making. By the end, learners will be confident in interpreting data and presenting findings in a clear, professional, and impactful way.

By

samson Bryant

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Data Analysis Essentials

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Enrollments

Level

Intermediate

Time to Complete:

0 hour 0 minute

Lessons:

1

Certificate:

No

One-time for 1 person

200.00$175.00$

Overview

This 10-week course provides a comprehensive introduction to Data Analysis Essentials. Participants will gain hands-on skills to collect, clean, analyze, and visualize data using tools like Excel, Python, and Power BI. The course focuses on turning raw data into actionable insights, building interactive dashboards, and creating reports that drive informed decision-making. By the end, learners will be confident in interpreting data and presenting findings in a clear, professional, and impactful way.

What You’ll Learn?

Understand the fundamentals of data analysis and workflow
Clean and validate data in Excel and Python
Use Excel formulas, PivotTables, and dashboards for reporting
Manipulate and explore data with Python (Pandas)
Visualize data effectively with Matplotlib and Seaborn
Build interactive dashboards with Power BI
Apply DAX for advanced Power BI calculations
Automate data handling and reporting processes
Present insights clearly to stakeholders
Complete a capstone project using real-world datasets

Requirements

Computer with Excel, Python (Jupyter Notebook), and Power BI installed
Basic understanding of spreadsheets and business data
Commitment to weekly lessons and hands-on exercises
Willingness to complete the final capstone project

Syllabus Overview

1

Lessons

0

Quizzes

0

Tasks

0

Resources

Module 1: Getting Started with Excel

Module 2: Excel Formulas & Functions

Module 3: Cleaning & Validating Data in Excel

Module 4: PivotTables & Dashboards in Excel

Module 5: Introduction to Python & Jupyter

Module 6: Data Cleaning in Python

Module 7: Exploring & Analyzing Data with Python

Module 8: Visualizing Data with Python

Module 9: Power BI for Interactive Dashboards

Module 10: Final Project & Presentation

Material Includes

Step-by-step video tutorials
Excel practice files and datasets
Python Jupyter notebooks and scripts
Power BI files and dashboards
Capstone project dataset and templates
Reference PDFs and guides
End-of-module quizzes and assignments

Instructor(s)

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