Data-analysis course

What Will You Learn?

• 1. Understanding Data: Learn the types of data (structured and unstructured) and sources of data collection.
• 2. Data Cleaning and Preparation: Gain skills in cleaning and pre-processing data to ensure quality and accuracy for analysis.
• 3. Exploratory Data Analysis (EDA): Develop techniques to summarize and visualize data, identifying patterns and insights.
• 4. Statistical Analysis: Understand fundamental statistical concepts and methods to draw conclusions from data.
• 5. Data Visualization: Learn to use tools and libraries (e.g., Matplotlib, Seaborn, Tableau) to create compelling visual representations of data.
• 6. Predictive Analytics: Gain knowledge of machine learning basics for making predictions based on data.
• 7. Data Communication: Learn how to effectively present findings to stakeholders using reports and presentations.
• 8. Tools and Technologies: Familiarize with popular data analysis tools (e.g., Python, R, SQL, Excel) and platforms.