Data Science Training

What Will You Learn?

• Master Python for Data Analysis using libraries such as Pandas and NumPy.
• Write and execute SQL queries to extract and manage data from relational databases.
• Visualize and tell stories with data using tools like Matplotlib and Seaborn.
• Apply core statistical and probabilistic concepts to analyze trends and patterns.
• Clean, process, and transform raw data into actionable insights through hands-on exercises.
• Complete a capstone project demonstrating your full data analysis workflow.

Material Includes

• 20–25 hours of high-definition video lessons
• Downloadable code files and practice datasets
• Hands-on assignments and a final data analysis project
• Access to an interactive student community forum
• A verifiable Certificate of Completion from Skillsflick

Requirements

• No prior data science experience is required.
• Basic familiarity with programming concepts is helpful but not mandatory.
• You’ll need a computer with internet access and the curiosity to explore data!

Audience

• Aspiring Data Analysts and Data Scientists seeking a strong foundation.
• Engineers and developers transitioning into data-centric roles.
• Students and professionals from any background curious about how data drives modern decision-making.

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