Professional Certification Program in

Data Science & A.I

An Intensive Program backed with Real World Projects and Industry Experts to get you your Dream Job.

Designed by mentors from

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4.4/5 (1600+ ratings)

2500+ Enrolled Students

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About the Course

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Learn from experienced Developers

Every class is led by industry-seasoned experts that must prove their instructional excellence.

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Get Career Support Until You’re Hired

We offer personalized career support and will help connect you with an extensive list of hiring partners.

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Graduate with a Project Portfolio

All bootcampers will complete five, portfolio-worthy projects that will impress employers.

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Join a Lifelong Community

Be welcomed into a community of active data professionals through our alumni network

Key Features

DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Scientist. We have meticulously planned your journey for a promising and fulfilling Data Science career ahead.

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100+ Hours of Instructor-Led Training

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Dedicated Career Coach

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200+ Hours of Self Paced Training

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Professional Certification Program

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500+ Exercises and Assesment

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24/7 Support

Curriculum

DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Scientist. We have meticulously planned your journey for a promising and fulfilling Data Science career ahead.

Learn Fundamental Concepts of Excel to solve Daily Problems and Use Advanced Excel Techniques to Perform Data Analysis and Reporting by Creating Charts and Dashboards.

  • Excel for Data Analysis
  • Dashboarding and Storytellingexce DataisGood
  • What if Analysis and Optimization
  • Statistical Modelling

 

Learn SQL for Querying Databases using Advanced SQL Statements and Clauses, and Python to Create Robust Solutions for Solving Complex Real World Problems.

  • SQL Fundamentals
  • Advanced Querying techniquessqpl DataisGood
  • Basics of Python Programming Language
  • Functional  and OOPs Programming
 
PROJECT/ASSIGMENT
 
Excel Dashboard: Build a Dashboard to track the Sales for an Ecommerce Store. Help the Sales Manager to understand the Effectiveness of Product Sales in different Regions and Derive some Unseen Trends and Patterns that could help him to Maximize the Productivity.

Learn to Scrape and Extract Data from Various Sources and Use Regular Expressions, Numpy, Pandas for Solving Data Science Related Problems.

  • Regular Expressions
  • Introduction to Numpysnp DataisGood
  • Introduction to Pandas
  • Introduction to Web Scraping
 

Perform Advanced Query Analysis using Pivot Tables, Cross Tabulations etc and Create Advanced Interactive and Animated Data Visualizations using Python.

  • Basics of Data Analysis
  • Query Analysis using Pythonsmp DataisGood
  • Introduction to Advanced Data Visualizations
  • Animated and Interactive Visualizations
 
PROJECT/ASSIGMENT
 
Players Performance Analysis: Analyze Performance metrics of players based on their skills, nationality, clubs, age etc to understand factors driving the performance of these players by using Pandas, Matplotlib, and Other Python Libraries learnt in this Module.

Perform Exploratory Data Analysis, by using Advanced Profiling Tools, and Accordingly Process and Prepare the Data by using Advanced Data Cleaning and Feature Engineering Techniques.

  • Introduction to Data Profiling
  • Introduction to Data Cleaningdc DataisGood
  • Introduction to Data Manipulation
  • Introduction to Feature Engineering
 

Learn Advanced Data Transformation, Data Processing and Data Mining Techniques to Handle Specific Cases of Structured and Unstructured Data Frame using Python Programming Language.

  • Introduction to Data Transformations
  • Introduction to Data Processingdm DataisGood
  • Introduction to Data Mining
  • Introduction to Data Preparation
 
PROJECT/ASSIGMENT

Global Cost of Living: Answer the most common questions regarding living standards in different countries and understand the reasons behind them by Cleaning the Data Properly and Extensive Feature Engineering as the Data is in a Raw and Unconsumable Format.

Learn Descriptive and Inferential Statistics to Gain an In Depth Understanding about the Data by using Advanced Statistical and Probabilistic Methods.

  • Introduction to Descriptive Statistics
  • Introduction to Inferential Statisticssc DataisGood
  • Introduction to Probability Theory
  • Introduction to Normal Distribution
 

Perform Confirmatory Analysis or Hypothesis Testing to Confirm your Hypothesis by using Advanced Statistical Tests and Hypothesis Testing Tools.

  • Introduction Hypothesis Testing
  • Introduction to T-tests, Z-tests, F-testsss DataisGood
  • Introduction to Chi-squared Tests
  • Comparison of Statistical Tests

 

PROJECT/ASSIGMENT

Startups Case Study: Analyze the Indian Startups and Understand the Expanding Startups Ecosystem in India to answer some of the most Insightful and Interesting Questions by applying Different Types of Statistical Concepts learnt in this Module.

Apply and Implement Dozens of Advanced Statistical, Probabilistic, Deterministic, and Decision Based Machine Learning Models to Perform Predictive Analytics.

  • Introduction to Statistical Modelling
  • Introduction to Tree Based Modelsscik DataisGood
  • Introduction to Boosting Models and Ensembles
  • Handling Imbalanced Datasets
 

Learn Clustering Analysis, Dimensionality Reduction Methods, Recommendation Engines, and Time series Forecasting Techniques to solve Interesting Problems.

  • Introduction to Clustering Analysis
  • Introduction to Dimensionality Reductionsta DataisGood
  • Introduction to Recommendation Engines
  • Introduction to Time Series Forecasting

 

PROJECT/ASSIGMENT

Employee Promotion Prediction: Predict whether the employee deserves Promotion based on different attributes like Age, Training Score, Region, Department, Awards, KPIs, etc. by using the Advanced Predictive Modelling Techniques learnt in this Module.

Learn Advanced Natural Language Processing for Processing the Text Data and Gain Insights from it, which can be used for Predictive analytics and etc.

  • Introduction to Text Processing
  • Introduction to Text Cleaning Methodsnltk DataisGood
  • Introduction to Feature Engineering
  • Introduction to Text Extraction Techniques
 

Solve Amazing and Interesting Use Cases and Problems using the Concepts from NLP such as Text Classification, Text Summarization, Topic Modelling etc.

  • Introduction to N Grams Analysis
  • Introduction to Text Classificationspacy DataisGood
  • Introduction to Text Summarization
  • Introduction to Topic Modelling
 
PROJECT/ASSIGMENT

Drugs Prescription using Consumer Reviews: Prescribe Drugs for Each of the Medical Conditions by using the Reviews given by the Patients who consumed the Drug and Find out Important Insights within the data using the Advanced NLP Techniques learnt in this Module.

Use Advanced Deep Learning Models to Solve Highly Computational and Complex Problems Including Data in Image, Video, Audio or any other Formats.

  • Introduction to Artificial Neural Networks
  • Tips and Tricks to Build Robust Neural Networkskeras DataisGood
  • Introduction to Convolutional Neural Networks
  • Introduction to CNN Architectures
 

Solve Advanced Problems using the Advanced Concepts using Supervised and Unsupervised Deep Learning Predictive Models and Computer Vision Technology.

  • Introduction to Recurrent Neural Networks
  • Introduction to LSTMstensorflow DataisGood
  • Introduction to Unsupervised Deep Learning
  • Introduction to Computer Vision
 
PROJECT/ASSIGMENT
 
Fruits Identification System: Build and Train an Image Classifier which can Identify more than 50 different types of Fruits when shown in Real-time by using the Concept of Advanced Deep Learning Predictive Models especially the CNN Architectures.

Learn the Basics of Model Deployment and Deploy your AI Applications by using Flask as a Backend Tool and Heroku as a Server.

  • Basics of Frontend
  • Building APIs using Flaskflask DataisGood
  • Backend Development using Flask
 

Build amazing Interactive and Useful Artificial Intelligence Based Applications by Deploying the ML and DL Models using Flask and Heroku

  • Building Web Interfaces for Machine Learning Models
  • Introduction to Model Deploymentheroku DataisGood
  • Deployment Flask Apps using Heroku
 
PROJECT/ASSIGMENT
 
Precision Farming App: Build an App which can Achieve Precision Farming by suggesting Best Crops according to Climatic Factors to Optimize Agricultural Production by using Flask as Backend and then Deploy this Predictive Model on Heroku Server.

Learn Storytelling with Tableau to Create Highly Complex and Advanced Reports and Visualizations by adding Filters, Animations, Interactivity and Much More.

  • Introduction to Basic Charts and Visualizationtableau LOGO DataisGood
  • Introduction to Mapping and Geospatial Visualization
  • Introduction to Filters, LOD Expressions, and Table Calculations etc.
 

Learn to Perform Regression, Clustering and Forecasting using Advanced Scientific Functions, Also Create Dashboards and Storyboards using Tableau.

  • Feature Engineering using Tableautableau LOGO DataisGood
  • Regression, Clustering, and Forecasting using Tableau
  • Dashboarding and StoryBoarding in Tableau
 
PROJECT/ASSIGMENT
 
US Consumer Complaints Analysis: Build an Interactive Dashboard which can give a complete 360 degree Summary of the Dataset so that the Insights and Patterns can be utilized by the Team to Improve their Overall Consumer Experience and Satisfaction.

Learn the Basic Concepts and Fundamentals of Big Data and Big Data Tools which can help you to Manage Big Data such as PySpark and Apache Spark.

  • Introduction to Big Datahadoop DataisGood
  • Introduction to PySpark
  • Introduction to Spark
  • Basics
 

Know How to Handle Big Datasets by using PySpark and Apache Spark, Also Learn to Implement Machine Learning Models using Spark ML.

  • Introduction to SparkSQL, and Data Framesspark DataisGood
  • Solving Complex ML Problems using Spark
  • Machine Learning with Spark ML
 
PROJECT/ASSIGMENT
 
Chicago Crime Analysis: The Chicago Crime Dataset is Vast and Huge, Hence Analyzing the Data and Deriving the Insights become Impossible. Hence, Analyze this Data by using the Concept of Big Data and the Most Amazing Tool Spark which you have learnt in this Module.

 

Student Projects

DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Scientist. We have meticulously planned your journey for a promising and fulfilling Data Science career ahead.

Optimize the Investments Made by a Client using Statistics and Machine Learning
Tackling a Client Project, where you have to help the customer understand the Portfolio Management and Estimation of Risks using different statistical and Financial Models. Finally, You will help the Client to Optimize his Investments by Suggesting the most appropriate Portfolio.
Estimate the Lifetime Value for the Customers of an Ecommerce Giant
Build a machine learning predictive model to explain and articulate the lifetime validation and valuation for the customers who have ever Purchased or Visited the e-commerce Giant using advanced Statistical Techniques and Finally Help the E-Commerce Giant to understand the Value of each Customer.
Help the Medical Experts to Choose the Best Drug for each Condition using NLP
With Coming Age, Thousands of Drugs are coming for each Medical Condition, Making it very difficult for the Medical Professionals to keep themselves Updated about the Best of the Drugs. Using Advanced Text Processing and NLP Techniques help Identify the Best Drugs for each Medical Condition using the Patient Reviews.
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Capstone Project

The Capstone project will give you a taste of what data scientists go through in real life when working with data. It will allow students to create a usable/public data product that can be used to show your skills to potential employers.

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Capstone Project on your Choice of Domain

The Capstone project will give you a taste of what data scientists go through in real life when working with data. It will allow students to create a usable/public data product that can be used to show your skills to potential employers.

Tableau server

Capstone Project on your Choice of Domain

The Capstone project will give you a taste of what data scientists go through in real life when working with data. It will allow students to create a usable/public data product that can be used to show your skills to potential employers.

Highlight Table Bad 900x650 1 DataisGood

Capstone Project on your Choice of Domain

The Capstone project will give you a taste of what data scientists go through in real life when working with data. It will allow students to create a usable/public data product that can be used to show your skills to potential employers.

Highlight Table Bad 900x650 1 DataisGood

Capstone Project on your Choice of Domain

The Capstone project will give you a taste of what data scientists go through in real life when working with data. It will allow students to create a usable/public data product that can be used to show your skills to potential employers.

Highlight Table Bad 900x650 1 DataisGood

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Data Science Training & Job Placement

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100% Placement Assistant

We guide you to get into the best companies

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50+ Career Specialists

We help you throughout you career journey

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200 Students : 900 Career Partners

This Healthy ratio ensures every student gets into a good company from Dataisgood

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