Introduction to Data Analysis with Python and Excel

Course Overview

In this course, you will learn how to analyze and interpret data using two of the most powerful tools in the industry: Python and Excel. Whether you are new to data analysis or want to enhance your skills, this course will equip you with the knowledge to manipulate large datasets, perform statistical analyses, and create dynamic reports. You'll learn key data analysis concepts, including cleaning, transforming, and visualizing data, all while developing the technical proficiency to make data-driven decisions.

Skills you'll aquired

Data Cleaning and Transformation
Data Visualization Techniques
Statistical Data Analysis
Data Manipulation with Python (Pandas, NumPy)
Excel Functions and Formulas for Data Analysis
Building Dashboards and Reports in Excel
Working with Large Datasets
Automating Data Workflows with Python
Handling Missing and Duplicate Data
Importing and Exporting Data (CSV, Excel, SQL)

Course Features:

55 Hours

Live Class and Video Suggestions

18 Articles

12 Downloadable Resources

43 Practicals

54 Hands-on Projects

Certificate upon Completion

Live Interactions

Course Compact

Learn the fundamentals of data analysis and why it's essential in today's data-driven world.

What is Data Analysis?
The Importance of Data-Driven Decision Making
Overview of Data Analysis Tools: Python and Excel
Common Data Challenges and How to Solve Them

Master Excel's powerful data analysis tools and create insightful reports from datasets.

Introduction to Excel Functions and Formulas for Analysis
Using Pivot Tables to Summarize Data
Data Cleaning in Excel: Removing Duplicates, Handling Missing Data
Creating Visualizations: Charts, Graphs, and Dashboards

Leverage Python's libraries to clean, manipulate, and analyze large datasets.

Introduction to Python and Setting Up the Environment
Data Analysis Libraries in Python: Pandas, NumPy
Importing Data from Various Sources (CSV, Excel, SQL)
Data Cleaning and Transformation with Pandas

Learn how to create beautiful and insightful data visualizations using Python.

Introduction to Matplotlib and Seaborn
Creating Line Charts, Bar Charts, and Pie Charts
Heatmaps and Correlation Plots
Customizing Plots and Enhancing Visual Appeal

Perform exploratory data analysis to understand the structure and patterns within your data.

Understanding Descriptive Statistics
Identifying Trends, Outliers, and Patterns in Data
Data Profiling Techniques
Automating EDA with Python Libraries

Use Python to automate repetitive data tasks and workflows.

Automating Data Import and Cleaning
Using Python to Generate Reports and Export Data
Scheduling Automated Data Analysis with Python Scripts
Integrating Python with Excel for Advanced Data Workflows

Apply your data analysis skills to solve a real-world business problem using Python and Excel.

Identifying the Problem and Objectives
Cleaning and Preparing the Data
Analyzing the Data and Generating Insights
Presenting Findings with Visualizations and Reports

Work on a comprehensive data analysis project, from data cleaning to creating a full report.

Gathering Data and Preprocessing
Conducting Statistical Analysis
Visualizing Data and Building a Dashboard
Presenting the Final Report for Business Decision Making

Requirements

Basic computer skills are recommended
A computer with internet access
No prior programming or data analysis experience required
Microsoft Excel installed (optional for Excel sections)

Description

This course combines the power of Python and Excel to help you become a proficient data analyst. You'll learn how to handle large datasets, clean and prepare data, and perform statistical analyses to uncover insights. With hands-on exercises and projects, you will gain practical skills that are in high demand in various industries. Whether you are looking to pursue a career in data analysis or use data to make more informed decisions, this course will provide you with the tools to succeed.

Meet the Instructor

Mayomi Odewaye

Software Engineer / Data Analyst / Project Manager

Mayomi Odewaye is a dynamic and accomplished professional who has made significant contributions to the fields of software engineering, data analysis, and project management. With a strong academic background and practical experience in Python programming, Machine Learning, Web Development, and PHP, Mayomi is passionate about teaching and mentoring aspiring developers. As the founder of KrossCheck, Mayomi is dedicated to providing innovative solutions that enhance the educational experience and streamline academic processes.