Data Analysis | SQL,Tableau,Power BI & Excel | Real Projects

Overview

4-in-1 bundle:

Practical learning of the essential tools used in Data Science with hands on examples and projects What you'll learn:

Learn and Understand SQL and it's role in Data Analysis.Develop proficiency in writing complex SQL queries to extract, manipulate, and analyze data.Develop the skills to clean, transform, and prepare data for analysis using Excel.Learn how to effectively use Power BI to create interactive visualizations.Apply the learned concepts and techniques to real-world data analysis projects.Gain expertise in Tableau to create compelling data visualizations and interactive reports.Build a solid foundation for a career in data analysis and be prepared for further learning and professional growth in the field. If you're interested in becoming a data analyst you're in the right place!Please ensure you can install MySQLWorkbench on your computer - I have enabled the installation videos for free preview so you can try.In this course, you will learn how to master the key techniques and concepts required to extract, manipulate, visualize, and analyze data effectively.

Whether you're a beginner or have some experience with data analysis, this course will cater to your needs and help you gain a competitive edge in the rapidly growing field of data analytics.Here's what you can expect to learn:

SQL Fundamentals:

Dive into the world of structured query language (SQL) and learn how to write powerful queries to extract and manipulate data from databases. From basic SELECT statements to advanced JOINs, subqueries and aggregate functions, you'll gain a comprehensive understanding of SQL.

This section is available for Mac and Windows laptops and computers.Tableau Fundamentals:

Unleash the potential of Tableau, a leading data visualization and exploration tool. Learn how to connect to data sources, create stunning visualizations using drag-and-drop techniques, and build interactive dashboards to uncover valuable insights.

This section is available for Mac and Windows laptops and computers.Power BI Essentials:

Explore the capabilities of Power BI, Microsoft's powerful business intelligence tool. Discover how to import, transform, and model data from various sources, create interactive visualizations, and design compelling reports and dashboards.

This section is only available for Windows users. Excel for Data Analysis:

Excel remains a fundamental tool for data analysis, and in this course, you'll harness its power.

Explore common features used by data analysts such as formulas, pivot tables, data cleaning, and conditional formatting to efficiently analyze and present data. This section is available for Mac and Windows laptops and computers.Using ChatGPT as a Data Analyst:

Learn how to use ChatGPT to enhance your productivity as a data analyst.

Discover practical techniques for utilizing ChatGPT to assist in writing SQL queries, generating code snippets, and automating repetitive tasks.Statistics for Data Analysis:

Develop a strong foundation in statistical concepts essential for data analysis. Learn about key measures such as standard deviation, mean, median, and mode.

Understand how to interpret these statistics and apply them to real-world data analysis scenarios.Why Enroll in this Course?Comprehensive Approach:

Gain proficiency in four essential tools used by data analysts, allowing you to tackle a wide range of data analysis tasks.Hands-On Learning:

Through practical exercises and real-world examples, you'll apply your knowledge to solve realistic data analysis challenges.Practical Projects:

Work on exciting projects that simulate real-world scenarios, enabling you to build a portfolio of practical data analysis skills.Expert Instruction:

Learn from an experienced instructor who has extensive industry knowledge and a passion for teaching data analysis.Career Advancement:

Equip yourself with the skills demanded by the job market and unlock lucrative career opportunities as a data analyst or business intelligence professional.

Syllabus

• Introduction to Data Analysis
Overview of Data Analysis and its Importance
Career Pathways in Data Analysis
• SQL for Data Analysis
Introduction to Databases and SQL
Key SQL Concepts: SELECT, FROM, WHERE
Aggregations and Grouping
Joins and Subqueries
SQL Practice with Real Data Sets
• Excel for Data Analysis
Introduction to Excel Basics
Data Cleaning and Preparation
Pivot Tables and Charts
Advanced Formulas and Functions
Data Visualization with Excel
• Data Visualization with Tableau
Introduction to Tableau Interface
Connecting to Data Sources
Building Visualizations and Dashboards
Advanced Tableau Features: Calculations, Parameters, and Filters
Storytelling with Data in Tableau
• Data Visualization with Power BI
Introduction to Power BI and its Ecosystem
Data Modeling and DAX Basics
Creating Interactive Reports
Advanced Analytics in Power BI
Sharing and Collaborating on Power BI Reports
• Real-World Data Analysis Projects
Designing and Planning Data Projects
Project 1: Analyzing Sales Data with SQL
Project 2: Financial Data Analysis in Excel
Project 3: Building an Interactive Dashboard in Tableau
Project 4: Visualizing Market Trends with Power BI
• Conclusion and Next Steps
Recap of Key Concepts
Building a Portfolio in Data Analysis
Further Learning and Certification Opportunities

Taught by

Graeme Gordon

Subjects

Data Science