DS Career Path

Step 1

Data Science Coding Expert

Learn complete coding for Data Science and practise real use cases.

32 Lessons

Pandas for Data Science

Step 2

Machine Learning Expert

Master complete machine learning concepts, algorithms and applications.

98 Lessons

Data Pre-processing and EDA

54 Lessons

Linear Regression and Regularisation

35 Lessons

Classification:Logistic Regression

25 Lessons

Imbalanced Classification

58 Lessons

Supervised ML Algorithms

27 Lessons

Ensemble Learning

Step 3

ML Model Deployement Expert

Learn how to deploy models into actual applications and build your own AI product.

20 Lessons

ML Deployment in AWS EC2

10 Lessons

Deploy ML Models in AWS Lamda

30 Lessons

Deploy ML Models in AWS Sagemaker

Step 4

Time Series Forecasting Expert

Become the expert in all time series models and solve real forecasting projects.

31 Lessons

Introduction to Time Series Analysis

Step 5

Industry Projects Expert

Solve industry projects with real data and complexities, just like on-the-job Data Scientist.

31 Lessons

Estimating Customer Lifetime Value for Business

41 Lessons

Microsoft Malware Detection Project

51 Lessons

Credit Card Fraud Detection

57 Lessons

Restaurant Visitor Forecasting

Step 6

Advanced Data Science Topics

Learn how to make the data ready for ML model building and drive actionable business insights from the data using extensive EDA.

66 Lessons

Spacy for NLP

79 Lessons

Base R Programming

14 Lessons

Dplyr for data wrangling

16 Lessons

Wrangling data with Data Table

27 Lessons

GGPlot2 visualization for data analysis

46 Lessons

Statistical Foundations for ML in R

67 Lessons

Regression Model in R

29 Lessons

Data Science Career Path

Steps to Machine Learning Expert

Step 1

Data Science Coding Expert

Foundations of Machine Learning

Complete Python for beginners

Numpy for Data Science

Pandas for Data Science

Step 2

Machine Learning Expert

Data Pre-processing and EDA

Linear Regression and Regularisation

Classification:Logistic Regression

Imbalanced Classification

Supervised ML Algorithms

Ensemble Learning

Step 3

ML Model Deployement Expert

ML Deployment in AWS EC2

Deploy ML Models in AWS Lamda

Deploy ML Models in AWS Sagemaker

Step 4

Time Series Forecasting Expert

Introduction to Time Series Analysis

Step 5

Industry Projects Expert

Estimating Customer Lifetime Value for Business

Microsoft Malware Detection Project

Credit Card Fraud Detection

Restaurant Visitor Forecasting

Step 6

Advanced Data Science Topics

Spacy for NLP

Base R Programming

Dplyr for data wrangling

Wrangling data with Data Table

GGPlot2 visualization for data analysis

Statistical Foundations for ML in R

Regression Model in R

Caret package in R

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Data Science Career Path

Steps to Machine Learning Expert

Step 1

Data Science Coding Expert

Foundations of Machine Learning

Complete Python for beginners

Numpy for Data Science

Pandas for Data Science

Step 2

Machine Learning Expert

Data Pre-processing and EDA

Linear Regression and Regularisation

Classification:Logistic Regression

Imbalanced Classification

Supervised ML Algorithms

Ensemble Learning

Step 3

ML Model Deployement Expert

ML Deployment in AWS EC2

Deploy ML Models in AWS Lamda

Deploy ML Models in AWS Sagemaker

Step 4

Time Series Forecasting Expert

Introduction to Time Series Analysis

Step 5

Industry Projects Expert

Estimating Customer Lifetime Value for Business

Microsoft Malware Detection Project

Credit Card Fraud Detection

Restaurant Visitor Forecasting

Step 6

Advanced Data Science Topics

Spacy for NLP

Base R Programming

Dplyr for data wrangling

Wrangling data with Data Table

GGPlot2 visualization for data analysis

Statistical Foundations for ML in R

Regression Model in R

Caret package in R