Course curriculum

    1. Course introduction

    1. Section 1 introduction - Introduction to data analysis

    2. Lesson 1.1 - The role of data analysis in business analysis

    3. Lesson 1.2 - Types of data (qualitative vs. quantitative)

    4. Lesson 1.3 - Data collection methods

    5. Lesson 1.4 - Data quality and integrity

    6. Section 1 conclusion

    7. Section 1 quiz

    1. Section 2 introduction - Data analysis techniques

    2. Lesson 2.1 - Descriptive statistics

    3. Lesson 2.2 - Exploratory Data Analysis (EDA)

    4. Lesson 2.3 - Data visualisation techniques

    5. Lesson 2.4 - Trend analysis and forecasting

    6. Section 2 conclusion

    7. Section 2 quiz

    1. Section 3 introduction - Advanced data analysis methods

    2. Lesson 3.1 - Regression analysis

    3. Lesson 3.2 - Correlation and causation

    4. Lesson 3.3 - Hypothesis testing

    5. Lesson 3.4 - Data mining techniques

    6. Section 3 conclusion

    7. Section 3 quiz

    1. Section 4 introduction - Tools for data analysis

    2. Lesson 4.1 - Introduction to excel for data analysis

    3. Lesson 4.2 - Using SQL for data querying

    4. Lesson 4.3 - R for data analysis

    5. Lesson 4.4 - Using business intelligence toolsi

    6. Section 4 conclusion

    7. Section 4 quiz

    1. Section 5 introduction - Data interpretation and decision-making

    2. Lesson 5.1 - Making sense of data

    3. Lesson 5.2 - Data-driven decision-making

    4. Lesson 5.3 - Communicating data insights to stakeholders

    5. Lesson 5.4 - Ethical considerations in data analysis

    6. Section 5 conclusion

    7. Section 5 quiz

About this course

  • 38 lessons
  • 1 hour of video content