All tracks

Data Science

Find truth in numbers

Statistics, visualization, analytics engineering, and data-driven decision making

5 steps~28 weeks
  1. 1

    Statistics & Python for Data

    Learn descriptive/inferential statistics, probability, and Python data libraries.

    StatisticsProbabilityPythonPandasMatplotlib
    6 weeks1 resource
  2. 2

    Data Wrangling & Visualization

    Clean, transform, and visualize data with Pandas, Seaborn, and Plotly.

    Data CleaningPandasSeabornPlotlyEDA
    6 weeks1 resource
  3. 3

    SQL & Database Management

    Master SQL queries, database design, and data warehousing concepts.

    SQLPostgreSQLDatabase DesignData WarehousingETL
    4 weeks1 resource
  4. 4

    Machine Learning for Data Science

    Apply ML algorithms for prediction, classification, and clustering to business problems.

    Scikit-learnRegressionClassificationClusteringModel Evaluation
    8 weeks1 resource
  5. 5

    Analytics Engineering & Dashboards

    Build production dashboards with BI tools and analytics engineering workflows.

    TableauPower BIdbtLookerAnalytics Engineering
    4 weeks1 resource