DS Career Path DS Coding Expert ML Expert Deployment Expert Deep Learning Expert Forecasting Expert Industry Projects Expert Supplementary Courses

Data Science Career Path

Master end-to-end data science and implement real to become a Data Scientist .

Plans & Pricing

Steps to Machine Learning Expert

Step 1

Data Science Coding Expert

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

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Foundations of Machine Learning

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Complete Python Programming

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Numpy for Data Science

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Pandas for Data Science

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SQL for Data Science - Level I (Basics)

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SQL for Data Science - Level II (Intermediate)

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SQL for Data Science - Level III (Advanced)

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SQL for Data Science - Window Functions

Step 2

Machine Learning Expert

Master complete machine learning concepts, algorithms and applications.

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Linear Algebra for Machine Learning

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Data Pre-processing and EDA

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Linear Regression and Regularisation

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Classification:Logistic Regression

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Imbalanced Classification

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Supervised ML Algorithms

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Ensemble Learning

Step 3

ML Model Deployment Expert

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

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ML Deployment in AWS EC2

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Deploy ML Models in AWS Lambda

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Deploy ML Models in AWS Sagemaker

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PySpark for Data Science - I: Fundamentals

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PySpark for Data Science - II: Statistics for Big Data

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PySpark for Data Science - III: Data Cleaning and Analysis

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PySpark for Data Science - IV: Machine Learning

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PySpark for Data Science - V: ML Pipelines

Step 4

Time Series Forecasting Expert

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

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Introduction to Time Series Analysis

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Time Series Analysis - I (Beginners)

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Time Series Analysis - II (Intermediate)

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Time Series Forecasting Part 1 - Statistical Models

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Time Series Forecasting Part 2 - ARIMA Modeling and Tests

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Time Series Forecasting Part 3 - Vector Auto Regression

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Time Series Forecasting III - Singular Spectrum Analysis (SSA)

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Feature Engineering for Time Series Projects - I

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Feature Engineering for Time Series Projects - II

Step 5

Industry Projects Expert

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

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Estimating Customer Lifetime Value for Business

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Microsoft Malware Detection Project

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Credit Card Fraud Detection

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Restaurant Visitor Forecasting

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Optimizing Marketing Budget Spend with Market Mix Modelling

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Predict Rating given Amazon Product Reviews using NLP

Step 6

Deep Learning Expert

Master new age computer vision and natural language processing and build your own applications.

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Foundations of Deep Learning in Python

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Foundations of Deep Learning Part-2

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Applied Deep Learning with PyTorch

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Detecting Defects in Steel Sheets with ComputerVision

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Project Text Generation using Language Models with LSTM

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Project Classifying Sentiment of Reviews using BERT NLP

Step 7

Supplementary Courses

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

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Spacy for NLP

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Base R Programming

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Dplyr for data wrangling

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Wrangling data with Data Table

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GGPlot2 visualization for data analysis

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Statistical Foundations for ML in R

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Regression Model in R

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Caret package in R

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