About the course

Welcome to our comprehensive Data Analytics Online Course, designed to equip you with essential skills in SQL, Tableau, Power BI, Python, Advanced Excel, and Statistics. Whether you're a beginner looking to enter the field of data analytics or a seasoned professional aiming to upskill, this course is tailored to meet your needs.

1. SQL : (Basics to Advanced)

   • Dive into the world of structured query language (SQL) with our foundational module. Learn how to retrieve, manipulate, and analyze data efficiently using SQL queries.
   • Topics covered include basic syntax, data manipulation (SELECT, INSERT, UPDATE, DELETE), filtering data (WHERE clause), sorting and grouping data (ORDER BY, GROUP BY), joins, subqueries, and more.
   • Hands-on exercises and real-world examples will solidify your understanding of SQL concepts.

2. Tableau and Power BI: (Basics to Advanced)

   • Harness the power of data visualization with Tableau and Power BI. Understand how to create interactive dashboards and compelling visualizations to communicate insights effectively.
   • Explore various visualization techniques, dashboard design principles, and best practices.
   • Learn how to connect to different data sources, clean and transform data, and create dynamic visualizations that drive actionable insights.

3. Python for Data Analysis:

   • Unlock the potential of Python for data manipulation, analysis, and visualization. Gain proficiency in libraries such as Pandas, NumPy, and Matplotlib.
   • Learn how to import, clean, manipulate, and analyze data using Python.
   • Discover advanced techniques for data processing, statistical analysis, with Python.

4. Advanced Excel Techniques: 

   • Take your Excel skills to the next level with advanced techniques tailored for data analysis.
   • Learn how to use functions, formulas, and pivot tables for data manipulation and analysis.
   • Explore advanced Excel features such as macros, VBA programming, data validation, and scenario analysis.

5. Statistics for Data Analytics: (Basics to Advanced)

   • Develop a solid foundation in statistics essential for data analysis. Understand key concepts such as probability, hypothesis testing, regression analysis and ANOVA.
   • Learn how to interpret statistical results and make informed decisions based on data analysis.
   • Apply statistical techniques to real-world datasets to extract meaningful insights.

Be job ready and apply for host of different roles in Data Analysis field. 

• Excel Data Analyst
• Power BI developer
• Tableau developer
• SQL data analyst
• Business Analyst
• Python and statistics data analyst.
• A combination of multiple above roles.

Join our Data Analytics Online Course today and embark on a journey towards mastering SQL, Tableau, Power BI, Python, Advanced Excel, and Statistics. Take the first step towards a successful career in data analytics!