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Skills Covered in this Path Collection & preprocessing Statistical analysis Probability Data acquisition Supervised & unsupervised learning Feature engineering Model evaluation Classification Prediction Clustering R & Python analysis Data visualization Ethics & privacy Data Analytics Problem-solving Insights Predictive Modeling Business Intelligence Data Science Process Data Preprocessing Techniques Data Science Components Career Trajectory Programming Basics Data Handling using Python Numpy and Pandas Python Basics NumPy Pandas Matplotlib Seaborn Plotly Basics of Probability Marginal Probability Bayes Theorem Central Tendency Measures of Variability Measure of Skewness Kurtosis Hypothesis Testing T-test Probability Population Samples Statistical analysis Hypothesis testing Statistical distributions Business Intelligence Fundamentals Data Visualization Principles Introduction to Tableau Understanding Data Types Navigating the Tableau Interface Creating Dashboards Visual Analytics Techniques Hands-on Tableau Exercises Integrating Data Sources. Power BI usage data loading creating reports dashboards slicers & filters visual interactivity Practical visualization walkthrough IPL data analysis with Python Data Description Basic Data Understanding Data Manipulation Skewness Using Histograms & Density Curves Visualising Outliers Using Boxplots Visualising Correlation Using Scatter Plots/Heatmaps What Is Machine Learning Regression Analysis Linear Reg Machine Learning Data Transformation Python Jupyter Notebook Statistics Regression Models Data Analytics Data Visualizations Unsupervised Learning Clustering k-means Clustering Covid Analysis Analysis of Indian Education System Project on FIFA Data Machine Learning Student grade prediction Salary prediction Predicting beer consumption ANN Tensorflow Keras Gradient Backpropagation Reinforcement Learning States Actions State based mechanism in Reinforcement Learning Data augmentation Model training & tuning Regularization Image processing (NNs) Feature & object detection Image classification CV problem-solving Pixel & image manipulation Flask Model Deployment Model Deployment Heroku Forecasting using Python Exponential Smoothing ARIMA Time Series in R R programming fundamentals variables data types data structures control structures functions packages importing data into R manipulating data in R performing statistical analysis in R data cleaning and wrangling statistical modeling Exploratory data analysis summary statistics data cleaning visualization (histograms boxplots scatter) handling missing values Marginal Probability Bayes Theorem Binomial Distribution Normal Distribution Poisson Distribution Descriptive statistics probability theory hypothesis testing regression analysis decision making methods Linear Regression Concept of Multicollinearity R Square Predictive Modeling Credit & market risk analysis counterparty risk management regulatory capital derivative valuation XVA risk identification hedging strategies and quantitative model validation RFM Analysis KINME Clustering KINME Linear Programming Data Science Architecture Components of Data Science Popular applications of Data Science Time series analysis Model forecast theory Time Series Forecasting Time Series Demo Feature Selection Linear Discriminant Analysis with Python Time series forecasting Clustering Market Basket Analysis Regression CART Random Forest Time Series Forecasting Decision Trees Credit Risk Modeling Free Courses 1 Data Science Foundations ★ 4.45 2 hours 654.7K+ Learners Beginner Start Here 2 Python for Data Science ★ 4.43 2 hours 118K+ Learners Beginner Enroll 3 Data Visualization using Python ★ 4.55 2 hours 84.4K+ Learners Intermediate Enroll 4 Probability for Data Science ★ 4.47 2 hours 54.6K+ Learners Beginner Enroll 5 Introduction to Descriptive Statistics ★ 4.46 1 hours 10.1K+ Learners Beginner Enroll 6 Hypothesis Testing ★ 4.5 2 hours 9.7K+ Learners Beginner Enroll 7 Statistics for Data Science ★ 4.58 8 hours 69.9K+ Learners Beginner Enroll 8 Data Visualization using Tableau ★ 4.52 2 hours 114.6K+ Learners Beginner Enroll 9 Data Visualization With Power BI ★ 4.52 2 hours 352.1K+ Learners Beginner Enroll 10 Basics of EDA with Python ★ 4.55 2 hours 12.7K+ Learners Beginner Enroll 11 Data Mining ★ 4.51 3 hours 41.7K+ Learners Intermediate Enroll 12 Data Science with Python ★ 4.61 12 hours 108.1K+ Learners Beginner Enroll 13 Unsupervised Machine Learning with K-means ★ 4.42 2 hours 11.5K+ Learners Beginner Enroll 14 Python Project Development ★ 4.36 1 hours 54.4K+ Learners Beginner Enroll 15 Prediction Project Using Python ★ 4.48 1 hours 8.6K+ Learners Intermediate Enroll 16 Deep Learning with Python ★ 4.55 8 hours 34.8K+ Learners Intermediate Enroll 17 Reinforcement Learning with Python ★ 4.49 6 hours 13.4K+ Learners Intermediate Enroll 18 Digital Image Processing ★ 4.46 5 hours 77K+ Learners Beginner Enroll 19 Machine Learning Model Deployment using Flask ★ 4.34 1 hours 9.7K+ Learners Beginner Enroll 20 Model Deployment using Heroku ★ 4.36 1 hours 7.1K+ Learners Beginner Enroll 21 What is Forecasting? ★ 4.46 1 hours 6.3K+ Learners Beginner Enroll 22 Time Series Analysis Stock Market Prediction Python ★ 4.48 2 hours 15K+ Learners Beginner Enroll VIEW MORE ( 19 ) Optional Free Courses 1 Introduction to R ★ 4.56 1 hours 172.7K+ Learners Beginner Start Here 2 Exploratory Data Analysis Essentials ★ 4.51 2 hours 102.6K+ Learners Beginner Enroll 3 Probability and Probability Distributions for Machine Learning ★ 4.49 2 hours 20.4K+ Learners Beginner Enroll 4 Statistical Methods for Decision Making ★ 4.44 2 hours 64.4K+ Learners Intermediate Enroll 5 Regression Analysis Using R ★ 4.53 3 hours 30.2K+ Learners Beginner Enroll 6 Financial Risk Analytics ★ 4.55 2 hours 89.8K+ Learners Beginner Enroll 7 Marketing and Retail Analytics ★ 4.61 3 hours 37.7K+ Learners Beginner Enroll 8 Marketing & Retail Analytics - Advanced ★ 4.58 1 hours 22.5K+ Learners Advanced Enroll 9 Linear Programming for Data Science ★ 4.59 3 hours 12.1K+ Learners Beginner Enroll 10 Popular Applications of Data Science ★ 4.55 1 hours 11.7K+ Learners Beginner Enroll 11 Time Series Analysis in R ★ 4.54 5 hours 11K+ Learners Intermediate Enroll 12 Multivariate Time Series Forecasting in R ★ 4.49 2 hours 4.9K+ Learners Intermediate Enroll 13 Linear Discriminant Analysis Applications ★ 4.42 1 hours 2.7K+ Learners Intermediate Enroll 14 Case Studies from Retail and E-commerce ★ 4.25 4 hours 18.8K+ Learners Beginner Enroll 15 Case Studies from Banking and Finance Industry ★ 4.28 5 hours 36.3K+ Learners Beginner Enroll VIEW MORE ( 12 )