Data Analytics Bootcamp
  • Syllabus
  • Statistical Thinking
  • SQL
  • Python
  • Tableau
  • Lab
  • Capstone
  1. Statistical Thinking
  • Syllabus
  • Statistical Thinking
    • Statistics
      • Statistics Session 01: Data Layers and Bias in Data
      • Statistics Session 02: Data Types
      • Statistics Session 03: Probabilistic Distributions
      • Statistics Session 04: Probabilistic Distributions
      • Statistics Session 05: Sampling
      • Statistics Session 06: Inferential Statistics
      • Slides
        • Course Intro
        • Descriptive Stats
        • Data Types
        • Continuous Distributions
        • Discrete Distributions
        • Sampling
        • Hypothesis Testing
  • SQL
    • SQL
      • Session 01: Intro to Relational Databases
      • Session 02: Intro to PostgreSQL
      • Session 03: DA with SQL | Data Types & Constraints
      • Session 04: DA with SQL | Filtering
      • Session 05: DA with SQL | Numeric Functions
      • Session 06: DA with SQL | String Functions
      • Session 07: DA with SQL | Date Functions
      • Session 08: DA with SQL | JOINs
      • Session 09: DA with SQL | Advanced SQL
      • Session 10: DA with SQL | Advanced SQL Functions
      • Session 11: DA with SQL | UDFs, Stored Procedures
      • Session 12: DA with SQL | Advanced Aggregations
      • Session 13: DA with SQL | Final Project
      • Slides
        • Intro to Relational Databases
        • Intro to PostgreSQL
        • Basic Queries: DDL DLM
        • Filtering
        • Numeric Functions
        • String Functions
        • Date Functions
        • Normalization and JOINs
        • Temporary Tables
        • Advanced SQL Functions
        • Reporting and Analysis with SQL
        • Advanced Aggregations
  • Python
    • Python
      • Session 01: Programming for Data Analysts
      • Session 02: Python basic Syntax, Data Structures
      • Session 03: Introduction to Pandas
      • Session 04: Advanced Pandas
      • Session 05: Intro to Data Visualization
      • Session 06: Data Visualization
      • Session 07: Working with Dates
      • Session 08: Data Visualization | Plotly
      • Session 09: Customer Segmentation | RFM
      • Slides
        • Data Analyst
  • Tableau
    • Tableau
      • Tableau Session 01: Introduction to Tableau
      • Tableau Session 02: Intermediate Visual Analytics
      • Tableau Session 03: Advanced Analytics
      • Tableau Session 04: Dashboard Design & Performance
      • Slides
        • Data Analyst
        • Data Analyst
        • Data Analyst
        • Data Analyst

Statistics

Statistics Session 01: Data Layers and Bias in Data

What is Data Analytics, Data Layers, Types of Biases
This chapter introduces the foundations of data analytics and statistical thinking.
Students explore how data becomes insight, what types of analytics exist, and how…

Statistics Session 02: Data Types

Data Types, Central Tendancy
Statistics is the branch of mathematics that transforms numbers (data) into useful information fohr decision makers.

Statistics Session 03: Probabilistic Distributions

Continues Distributions
In Data Analytics, we rarely know outcomes with certainty.

Statistics Session 04: Probabilistic Distributions

Discrete Probability Distributions
Up to this point, we focused on continuous distributions, where variables can take infinitely many values within a range.

Statistics Session 05: Sampling

Sampling
In statistics:

Statistics Session 06: Inferential Statistics

Hypothesis Testing
In the statistical world, a hypothesis is an assumption about a specific population parameter, such as a mean, a proportion, or a standard deviation.
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