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Data Analysis

Data analysis is the process of exploring, cleaning, transforming, and interpreting data to gain useful information, identify patterns, formulate conclusions, and support decision making. This course will provide you with the essential skills to explore, analyze and interpret large amounts of data effectively.

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DURATION
  24 h
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METHODS
  On-line or in person
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ASSISTANCE
  Tutoring
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CERTIFICATION
  Final certificate

To who we address

Whether for professionals seeking to make informed decisions, student learners who want to enrich their skills, or an entrepreneur who wants to improve business strategy, this course will provide you with the foundational skills to harness the full potential of data, through in-depth lessons leveraging statistical tools and visualization techniques.

Course structure

1

  • Probability, descriptive statistics, inferential statistics.

  • Exercise.

2

  • Linear regression, estimators.

  • Exercise.

3

  • Random variables, test - hypothesis.

  • Exercise, with analysis of use cases.

4

  • GMM, K-means.

  • Exercise, with analysis of use cases.

5

  • Scikit learn.

  • Exercise.

6

  • Orange Data Mining.

  • Insights.

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