Pandas

• Introduction to Pandas
• Series Data Structure - Querying and Indexing
• DataFrame Data Structure - Querying, Indexing, and loading
• Merging data frames
• Group by operation
• Pivot table
• Date/Time functionality
• Example: Manipulating DataFrame

Statistics & Probability with Numpy- Basic

• Why counting and probability theory?
• Basics of sample and event space
• Axioms of probability
• Total Probability theorem and Bayes Theorem
• Random variables, PMF and CDF
• Discrete Distributions - Bernoulli, Binomial and Geometric
• Expectation and its properties
• Variance and its properties
• Continuous Distributions - uniform, exponential and normal
• Sampling from continuous distributions
• Simulation techniques - simulating in NumPy

Statistics & Probability with Numpy- Advanced

• Inferential statistics - sample vs population
• CLT and its proof
• Chi-squared distribution and its properties
• Point and Interval Estimators
• Estimation technique - MLE
• Interval Estimator of μ with unknown σ
• Examples of estimators
• Hypothesis testing - I
• Hypothesis testing - II
• Hypothesis testing - III

Data Visualization using Python

• Read Complex JSON files
• Styling Tabulation
• Distribution of Data - Histogram
• Box Plot
• Data Visualization - Recap
• Pie Chart
• Donut Chart
• Stacked Bar Plot
• Relative Stacked Bar Plot
• Stacked Area Plot
• Scatter Plots
• Bar Plot
• Continuous vs Continuous Plot
• Line Plot
• Line Plot Covid Data

Data Visualization (Tool) PowerBI/Tableau (Add-on)

• POWERBI 
  • Introduction to PowerBI
    
  • Creating, Managing and filtering Data
  • Basic Plots in PowerBI - Trend Analysis, Area,
  • Ribbon, Scatterplots and Decomposition trees
  • Creating PowerBI reports
  • Creating interactive dashboards and deploying the dashboards
    
    
• TABLEAU 

  • Introduction to Tableau

  • Connecting, managing and aggregating data

  • Visual Analytics in Tableau

  • Simple predictive analytics using tableau

  • Building Tableau Dashboards