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

 Data Analysis | SQL,Tableau,Power BI & Excel - Real Projects - 4-in-1 bundle: Practical learning of the essential tools used in Data Science with hands on examples and projects

Preview this Course GET COUPON CODE

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.

Description

If you're interested in becoming a data analyst you're in the right place!

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.

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 experienced instructors who have 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.

Who this course is for:

• Beginners: Individuals who have little to no prior experience with data analysis or the mentioned tools but are eager to learn and build a foundation in data analysis.
• Aspiring Data Analysts: Individuals who want to pursue a career in data analysis and need to develop a strong understanding of SQL, Power BI, Tableau, and Excel.
• Anyone interested in Data Analysis: Individuals with a general interest in data analysis and a desire to learn SQL, Power BI, Excel, and Tableau to explore and analyze data in various contexts.