Introduction to Data Science

  • Course Duration3 Months
  • Course StartEnrollment Monthly

Description

Python for Data Science

  1. Learn to use NumPy for Numerical Data
  2. Implement Machine Learning Algorithms
  3. Learn to use Pandas for Data Analysis

Python for Data Visualization

  1. Learn to use Matplotlib for Python Plotting
  2. Learn to use Seaborn for statistical plots
  3. Use Plotly for interactive dynamic visualizations

Python for Machine Learning

  1. Use SciKit-Learn for Machine Learning Tasks
  2. K-Means Clustering
  3. Logistic Regression
  4. Linear Regression
  5. Random Forest and Decision Trees
  6. Natural Language Processing and Spam Filters

Use R for Data Science and Machine Learning

Our Partners

Institutions we have partnered with or Worked with previously

MapR Technologies
Kaggle
Dataiku
Nita
Kenya Tourism Board
Barclays
British American Tobacco
Coop Bank
Craft Silicon
CRDB Bank
ICPAK
IPSOS
KAM
Lapfund
National Land Comission
NSSF Uganda
Reinsuance
Safaricom
URA