About this course
Are you ready to dive into the world of data analytics and transform raw information into actionable insights? Join our Comprehensive Data Analytics Mastery course, where we blend the power of Excel, Python, and Power BI to equip you with versatile skills for robust data analysis.
Course Highlights:
Real-World Applications: Apply your skills to real-world scenarios, ensuring practical proficiency in data analytics.
Hands-On Projects: Engage in hands-on projects that simulate common industry challenges, providing a dynamic learning experience.
Expert Guidance: Benefit from expert guidance throughout the course, with experienced instructors offering insights into industry best practices.
Flexibility and Self-Paced Learning: The course is designed for flexibility, allowing you to learn at your own pace. Whether you're a beginner or seeking to enhance your skills, our curriculum caters to diverse skill levels.
Who Should Enroll:
Aspiring Data Analysts
Business Professionals
Entrepreneurs
Anyone seeking to harness the power of data for informed decision-making
Certification:
Upon completion, receive a certification attesting to your proficiency in data analytics using Excel, Python, and Power BI.
Suggested by top companies
Top companies suggest this course to their employees and staff.
Requirements
Laptop
Internet Connectivity
FAQ
Comments (0)
• INTRODUCTION TO MICROSOFT EXCEL.
•EXPLORING DATA AND TYPES OF DATA.
•INSERTING ROWS AND COLUMNS.
•INTRODUCTION TO FORMULAS.
•INTRODUCTION TO FUNCTIONS.
•WORKING WITH ABSOLUTE CELLS REFERENCES.
•UTILIZING A NAMED RANGE.
•UPDATING A NAMED RANGE.
•INTRODUCTION TO CHARTS.
•UPDATING WORKSHEET DATA.
•ADDING A WORKSHEET.
•CREATING AN EXCEL TABLE.
•SORTING AND FILTERING OF DATA.
•INTRODUCTION TO POWER BI.
•SHARING THE DASHBOARD.
•UNDERSTAND DATA REFRESH .
•USING POWER BI DESKTOP.
•GETTING DATA FROM SERVICES AND CONTENT PACKS.
•BUILDING A DATA MODEL.
•IMPROVING POWER BI REPORTS.
•USING POWER BI FOR A COMPANY'S REPORT. (ASSESSMENT).
•INTRODUCTION TO PYTHON.
•VARIABLES AND DATA TYPES.
•OPERATORS AND EXPRESSIONS.
•IF-ELSE, THE CONTROL FLOW.
•LEARNING USING HARDWARE SIMULATION.
•LOOPING.
•LOOPING OVER HARDWARE.
•DATA STRUCTURES.
•STRINGS.
•FUNCTIONS.
•FILE HANDLING.
•EXCEPTIONS.
•CLASSIFICATIONS.
•MODULES.
•COLLECTION OF MODULES.
•SIMPLE TESTING IN PYTHON.
•A PROJECT STRUCTURE.
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