Data Analytics Courses

If you are interested in becoming a data analyst, but feel overwhelmed by the technical skills required, this "Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle" course is designed for you. You'll learn Excel, SQL, and Tableau - the essential tools for data analysis - and develop the skills to turn raw data into insights that drive better business decisions.

In this course, you will:

• Develop advanced Excel skills to manipulate and analyze data
• Master SQL queries to extract data from databases
• Create stunning data visualizations in Tableau to communicate insights

Learning these skills will allow you to excel as a data analyst, and open up new career opportunities. You'll practice real-world examples and complete hands-on exercises, so you can apply your new skills to real-world situations.

This course is different because it offers a comprehensive, 3-in-1 bundle approach that covers all of the key skills required to become a successful data analyst. The course is also taught in an engaging and easy-to-understand format, so you can learn at your own pace and confidently apply your skills in the workplace.

What makes us qualified to teach you?

The course is taught by Abhishek (MBA - FMS Delhi, B. Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B. Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis.

What is covered in this course?

The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tools which are MS Excel, SQL, and Tableau. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data Analysis.

Let me give you a brief overview of the course

Introduction: Course overview and objectives.

Excel Basics: Introduction to Excel's interface and navigation.

Essential Excel Functions: Key functions for data analysis.

Data Tools: Tools for managing and manipulating data.

Formatting Data and Tables: Techniques for enhancing spreadsheet appearance.

Pivot Tables: Summarizing data for analysis.

Excel Charts: Creating visual data representations.

Pivot Charts: Visualizing Pivot Table data.

Special Purpose Charts: Advanced chart types for specific data.

Named Ranges: Simplifying data reference.

Excel Shortcuts: Keyboard shortcuts for efficiency.

Macros: Automating repetitive tasks in Excel.

Advanced Excel: Exploring complex Excel features.

Creative Infographics: Designing infographics with Excel data.

SQL: Introduction to Structured Query Language.

Installation and Getting Started: Setting up SQL software.

Case Study Demo: Real-world SQL application.

Fundamental SQL Statements: Essential SQL commands.

Restore and Backup: Preventing data loss in databases.

Selection Commands Filtering: Filtering data in SQL.

Selection Commands Ordering: Sorting SQL query results.

Alias: Temporary names in SQL queries.

Aggregate Commands: Calculating data across rows.

Group By Commands: Organizing data for aggregates.

Conditional Statement: Logic in SQL queries.

JOINS: Combining data from multiple tables.

Subqueries: Nested queries for data retrieval.

Views and Indexes: Simplifying queries and improving performance.

String Functions: Manipulating string data in SQL.

Mathematical Functions: Performing calculations in SQL.

DateTime Functions: Handling date and time data.

Pattern String Matching: Searching for specific patterns.

Windows Functions: Calculating across related rows.

COALESCE Function: Returning the first non-null value.

Data Type Conversion Functions: Changing data types.

User Access Control Functions: Managing database security.

Nail That Interview: Tips for technical interview success.

Performance Tuning Tips: Optimizing SQL queries.

Database Basics: Fundamental database concepts.

TABLEAU: Introduction to data visualization with Tableau.

Installation and Getting Started: Setting up Tableau.

Combining Data to Create Data Model: Integrating data sources.

Data Categorization in Tableau: Organizing data for analysis.

Most Used Charts: Commonly used Tableau charts.

Customizing Charts Using Marks Shelf: Enhancing chart visuals.

Other Important Charts: Additional useful chart types.

Grouping and Filtering Data: Focusing data analysis in Tableau.

Map Chart in Tableau: Visualizing geographical data.

Calculations and Analytics: Performing calculations in Tableau.

Sets and Parameters: Managing data subsets and variables.

Dashboard and Story: Creating interactive data presentations.

Appendix: Additional resources and references.

Congratulations and About Your Certificate: Course completion and certification details.

Thank you :)