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What you'll learn?

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How to gather, clean, and prepare data for analysis using tools like Excel, SQL, and Python.

Fundamental concepts of statistics, including probability, distributions, hypothesis testing, and regression analysis, to understand and interpret data.

Techniques to represent data visually using tools like Tableau, Power BI, or Matplotlib, to communicate insights effectively.

Writing SQL queries to extract and manipulate data from databases, and understanding relational databases.

Creating data models to identify patterns and relationships within data, and understanding how to structure data for analysis.

An introduction to basic machine learning concepts and algorithms, including classification, clustering, and predictive Modeling.

How to create comprehensive reports and dashboards, and communicate findings clearly to stakeholders.

Understanding the role of data in business decision-making and learning how to align data insights with business objectives.

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Who learn Data Analyst?

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• Students and Fresh Graduates
• ​Career Changers​
• Accountants
• Professionals
• Working Professionals
• IT and Software Professionals
• Sales and Marketing Professionals
• HR Professionals
• Consultants
• Researchers and Academics