This course will be structured into four parts:
Part 1: Introduction to computers
> Digital information
> Computers
> The Internet
> Online data security
> Computing innovations
Part 2: Introduction to Statistics (7 Units):
> Displaying a single quantitative variable
> Analyzing a single quantitative variable
> Two-way tables
> Scatterplots
> Mean, Median, and mode calculations
> Probability
> Probability distributions & expected value
Part 3: Statistic and Probability (16 Units):
> Analyzing categorical data
> Displaying and comparing quantitative data
> Summarizing quantitative data
> Modeling data distributions
> Exploring bivariate numerical data
> Study design
> Probability
> Counting, permutations, and combinations
> Random variables
> Sampling distributions
> Confidence intervals
> Significance tests (hypothesis testing)
> Two-sample inference for the difference between groups
> Inference for categorical data (chi-square tests)
> Advanced regression (inference and transforming)
> Analysis of variance (ANOVA)
Part 4: SQL & Python Essentials 1
> Python Essential 1 Start Course
> SQL Start Course
Part 5: Pandas, Data Cleaning & Visualization
> Pandas Start Course
> Data cleaning Start Course
> Data Visualization Start Course
Part 6: Introduction to Data Science
> Introduction to data science
Start Course
Part 7: DP 600
> Microsoft Fabric DP 600 Start Course