Course Content
Python Libraries
Numpy: Array handling, Indexing & Slicing
You don't currently have access to this content
Pandas: DataFrame manipulation, Merging datasets, Handling missing data
You don't currently have access to this content
Matplotlib: Line plots, Scatter plots, Customization of plots
You don't currently have access to this content
Probability & Applied Statistics
Probability Distributions: Normal, Binomial
You don't currently have access to this content
Bayes Theorem: Prior, Likelihood, Posterior
You don't currently have access to this content
Hypothesis Testing: T-tests, Chi-square test, ANOVA etc
You don't currently have access to this content
Confidence Interval: Z-scores, Standard Error
You don't currently have access to this content
Standard Deviation: Data deviation & Variance
You don't currently have access to this content
PowerBI
Visual Analytics: Filters, Groups, Sets
You don't currently have access to this content
Charts & Graphs: Line chart, Bar chart, Scatter plots
You don't currently have access to this content
Advanced Charts: Treemaps, Waterfall charts, Geo maps
You don't currently have access to this content
Worksheet: Formatting, Calculated fields, Parameters
You don't currently have access to this content
Excel, SQL
Excel Functions: VLOOKUP, IF statements, Text functions
You don't currently have access to this content
Pivot Tables: Creating, Sorting, Filtering
You don't currently have access to this content
Charts in Excel: Pie, Line, Stacked charts
You don't currently have access to this content
SQL Commands: SELECT, INSERT, DELETE, UPDATE
You don't currently have access to this content
Joins & GroupBy: Inner Join, Left Join, Aggregate functions
You don't currently have access to this content
Fundamentals of Modeling, Machine Learning & Deep Learning
Linear Algebra: Matrix operations, Eigenvalues & Eigenvectors
You don't currently have access to this content
Classification: Decision boundaries, Cost function
You don't currently have access to this content
Gradient Descent: Learning rates, Convergence
You don't currently have access to this content
Optimization: Stochastic Gradient Descent
You don't currently have access to this content
Intro to Predictive Modeling
Linear Regression: Residual analysis, R-squared, MSE
You don't currently have access to this content
Logistic Regression: Sigmoid function
You don't currently have access to this content
Polynomial: Feature scaling, Regularization
You don't currently have access to this content
Bias-Variance: Tradeoff, Model complexity, underfitting, overfitting
You don't currently have access to this content
Machine Learning
Neural Networks: Activation functions, Backpropagation, Epochs
You don't currently have access to this content
Supervised Learning: Decision trees, Naive Bayes
You don't currently have access to this content
Unsupervised Learning: K-means
You don't currently have access to this content
ML Algorithms: KNN, Random Forest, Gradient Boost
You don't currently have access to this content
Lessons:
