Data Science With Python

Data Science with Python (Online Classroom)

Data Science with Python are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Good data science requires experts that combine substantive knowledge with data analytical skills, which makes it a prime area for social scientists with an interest in quantitative methods. This course integrates prior training in quantitative methods (statistics) and coding with substantive expertise and introduces the fundamental concepts and techniques of Data Science, Machine Learning & Deep Learning.

Program Structure

  • Python – Basic & Advanced
  • Mathematics & Statistics
  • Machine Learning, Deep Learning
  • TensorFlow, Kera’s
  • Computer Vision, NLP
  • Data Science – Advanced
  • 5 Live Projects / Case Studies

*Note: Separate batch & extra sessions for NON-IT Professionals to build strong programming skills from scratch.

Duration: 3 Months / 90+ hours

Projects/Case Studies

Any 5 Case Studies (T & C apply)

  • Forecasting Stock and Commodity Prices
  • Build your own image recognition model with TensorFlow
  • Customer Segmentation and Effective Cross Selling
  • Predict fraud with data visualization & predictive modelling
  • Chatbot Project using Microsoft Luis/Google Dialog flow/Amazon Lex.

  • Deep Learning - Customer Feedback analysis using RNN LSTM.
  • Deep Learning - Family member detection.
  • Deep Learning - Industry financial growth prediction.
  • Deep Learning - Speech recognition-based attendance system.
  • Deep Learning - Vehicle Number plate detection and recognition system
  • Forecasting Stock and Commodity Prices
  • Build your own image recognition model with TensorFlow
  • Customer Segmentation and Effective Cross Selling
  • Web Scrapping - Web crawlers for image data sentiment analysis and product review sentiment analysis.
  • Predict fraud with data visualization & predictive modelling
  • Analyzing Movie Reviews Sentiment.
  • Analyzing Music Trends and Recommendations
  • Time Series - Arimam, Sarima, Auto Arima
  • Time series using RNN LSTM Build your own Recommendation System
  • Build your own Python predictive modelling, regression analysis & machine learning Model
  • Football Players (Estimating Population Mean from a Sample)
  • Election Polling (Estimating Population Proportion from a Sample)
  • A Medical Study (Hypothesis Test for the Population Mean) Employee Behavior (Hypothesis Test for the Population Proportion)
  • A/B Testing (Comparing the means of two populations
  • Customer Analysis (Comparing the proportions of 2 populations)
  • Predictive medicine: prognosis and diagnostic accuracy
  • Virtual assistance for patients and customer support
  • Analysing Wine Types and Quality
  • Creation of drugs - allows choosing, which experiments should be done and incorporates all the new information in a continuous learning loop
  • Clustering algorithms for customer segmentation
  • Discovering similarities across my Spotify music using data, clustering and visualization
  • An End-to-End Project on Time Series Analysis and Forecasting with Python
  • Using LSTMs to forecast time-series
  • Evolution of a salesman: A complete genetic algorithm tutorial for Python
  • A Machine Learning Approach — Building a Hotel Recommendation Engine
  • How To Create Data Products That Are Magical Using Sequence-to-Sequence Models
  • Deployment of all the project In cloudfoundary , AWS , AZURE and Google cloud platform.
  • Deployment - Expose, api to web browser and mobile application retraining approach of Machine learning model.
  • Deployment - Devops infrastructure for machine learning model.
  • Deployment - AUTO ML.
  • Deployment - Prediction based on streaming data.

Will I get certified?

Upon successful completion of this data science course, you’ll earn a Certificate. The certificate adds the required weight in any portfolio.

Internship Certificate

This certificate will be issued to those pursuing internships with our development team or clients with whom we have tie-ups. Data Science Internship gives opportunity to learn from professionals, gain practical experience in this field, and build a robust professional network.

Advantages of joining Gamaka AI

  • Instructor led online classroom interactive sessions
  • One-To-One online problem-solving sessions
  • Complete Soft Copy of Notes & Latest Interview Preparation Set
  • Trainers are working IT professional with top IT MNC’s
  • 100% Placement Assistance
  • Resume Building & Mock Interview Sessions
  • 100% Hands-on Training with Live Projects/Case Studies
  • Internship & Course Completion Certificate
  • 1 Year free subscriptions to portal for updated guides, notes, poc, projects & interview preparation set.
  • Extensive training programs with Recorded Sessions
  • 24*7 Support on enquiry@gamakaai.com

Download Brochure

Fee Structure

DATA SCIENCE WITH PYTHON (ANY 1 MODULE)

Fees: ₹19,500/-
Lock Down Offer

₹ 12,500/-

2 installments – ₹ 6,000/-
(15 days gap)
Down Payment ₹ 11,000/-

DATA SCIENCE WITH PYTHON + TABLEAU (ANY 2 MODULES)

Fees: ₹25,500/-
Lock Down Offer

₹ 19,500/-

2 installments – ₹ 9,500/-
(1 month gap)
Down Payment ₹ 18,000/-

DATA SCIENCE WITH PYTHON + TABLEAU + BIG DATA HADOOP (ANY 3 MODULES)

Fees: ₹37,500/-
Lock Down Offer

₹ 24,500/-

2 installments – ₹ 12,000/-
(1 month gap)
Down Payment ₹ 23,000/-
  • Registration – ₹ 500/-
  • Weekdays & Weekends Batches – Flexible Timings
  • Internship – 3 months (optional)
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