Data Collection and Cleaning
Learn how to source data from multiple channels and clean it for accuracy.
Learn to uncover insights hidden in data and turn numbers into power decisions.
From spreadsheets to advanced analytics tools, master the art of collecting, cleaning, interpreting and visualizing data. Develop the skills to interpret trends, create reports and make data-driven recomendations that impacts real business outcomes.
January - C1
June - C2
October - C3
Physical: 12 Weeks (Three times weekly)
Virtual: 16 Weeks (Sat & Sun)
Figma & Framer
Perfect for beginners with little to no prior experience in UI/UX design.
TThe Data Analysis course equips you with the knowledge and tools to work with structured and unstructured data effectively. Whether you want to build a career in business intelligence, research, or analytics, you will learn how to turn raw data into actionable insights.
Through real-world datasets, hands-on exercises, and guided projects, you’ll gain experience in data cleaning, visualization, reporting, and storytelling. By the end of the course, you’ll have a portfolio of projects that demonstrate your ability to solve business problems through data.
By the end of the course, you'll have a solid portfolio and the skills needed to pursue roles like Data Analyst, Business Intelligence Specialist, or Data Scientist.
Learn how to source data from multiple channels and clean it for accuracy.
Master formulas, pivot tables, queries, and relational databases.
Use tools like Power BI and Tableau to turn complex data into easy-to-understand visuals.
Apply Python libraries like Pandas and NumPy for deeper insights.
Build reports and dashboards that clearly communicate findings to stakeholders.
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