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Learning Path in

Data Science

Follow this learning path to become a certified Data Scientist. Learn the most in-demand technologies in Data Science such as SQL, Python and implement concepts like data exploration, regression models, hypothesis testing, etc.

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  • Duration

    150+ Hours

  • Next Batch

    Coming Soon

  • Level

    Beginners & Intermediate

  • Delivery Mode

    Live Online & Offline

  • Success Stories

    500+

  • Placement Assistance

    Till You Get Placed

  • Hiring Partner

    150+

With Industries Experts From

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About the Program

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150+ Hours of Hybrid Learning

Acquire premium content through live classes and offline bootcamps

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1:1 Personalized Mentoring from Industry Experts

Get personalized career coaching from 700+ Coaches

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Access to Employment Opportunities

Apply for available industry internships and live projects

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₹3 - 15 Lakhs CTC range Salary Package

Land your dream job with right salary in the right company


Tools & Skills Covered

Master the right set of skills & tools which will allow you to perfectly execute your future projects.

What You'll Learn During the Course

  • Understand Data Science Life Cycle & Real Project Processes
  • Understand the approach to solve real-world Data Science Problems
  • Perform all steps in a complex Data Science Project pipeline
  • Mastering python for data science
  • Building robust ML Models
  • Present Data Science projects & insights to stakeholders
  • Fundamentals of CV, NLP, CNN and RNN
  • Learn Data visualization, data exploration and feature engineering
  • Gain expertise of important python libraries 

Job Opportunities

  • Data Scientist
  • Machine Learning Engineer
  • NLP Engineer
  • Business Analyst
  • Data Engineer
  • Data Analyst

Syllabus

Best-in-class content delivered by leading faculty and industry experts in the form of Live Classes, On Demand Videos, Case Studies, Assignments and Projects.

Download Syllabus
+ 5 More Lesson

Industry Projects

    Learn through real-life industry projects sponsored by top companies across various verticals

  • ✓ Engage in collaborative projects with student-mentor interaction
  • ✓ Learn faster in-person through guidance from expert mentors
  • ✓ Personalized subjective feedback on your submissions to facilitate quick improvement

Predict Automobile Price

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In this project, you will use Machine learning to predict the price of a car based on several characteristics. The objective is to build a model to understand the factors that drive the price of a car. This will help the automobile company launch their new car in the market effectively by pricing it better.

Play Store Data Analysis

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Google Play Store team is about to launch a new feature. This feature will help bring more attention to newer apps that have potential. The task is to understand what makes an app perform well - size, price, category, multiple factors together? Analyze the data and present your insights in a format consumable by business – the final output of the analysis would be presented to business as insights with supporting data/visualizations.

Bank Marketing Prediction

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A Bank wants to predict the response to a marketing campaign for various users. Use Machine learning predictive modeling techniques like Random forest and logistic regression to predict if the customer will respond positively to the campaign or not.

Zomato Data Analysis

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Zomato is an Indian restaurant aggregator and food delivery application. As an analyst, your task is to find various trends to understand how fast it has become popular, the average cost per customer, restaurant popularity and other insights

IPL Data Visualization

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The Indian Premier League is a professional Twenty20 cricket league in India contested every year by eight teams representing eight different cities in India. In this project, you will develop powerful charts to understand the performance of each player and the entire team for investors to draw insights

E-commerce Data analysis

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To improve the conversion rates and profits of an E-commerce store, your mission is to analyzing various product details, user's behaviour, prices of e-commerce products, etc. You will also develop insights to develop pricing and promotions.

Customer Churn Prediction

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Churn prediction project consists of detecting which customers are likely to cancel a subscription to a service based on how they use the service using customer information such as age, gender, demographics. As an ML Engineer, you will build a classifier which tells that a particular customer is loyal or a churn. In this projects python, sklearn, matplotlib, pandas, SVM and logistic regression is used

Cross Sell Up Sell

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Identify product bundles that get brought together to be able to identify cross sell up sell opportunities. You will work on transactional data by using advanced SQL for sequence structures.

Email marketing

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Identify patterns and attributes that lead to good performance and sub optimal performance of email program.

Text and Sentiment Analysis

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You will compute the sentiment value of each narrative of a particular topic with the help of K-Means clustering and NLP.

Retail Store Analysis

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In this project, you will help a retail store to visualize sales and develop insights from the previous year using various plots to understand best customers, orders in a day also estimate lifetime value of customers based on purchase patterns.

Fraud Detection

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Predict the likelihood of a customer to commit a fraudulent transaction. In this Project build a Machine Learning model to identify fraudulent credit card transactions.

Potential Recruiters

Opening the doors to the best in the industry:


Stand Out with BI’s Certificate

Complete all the modules successfully to obtain this certificate of recognition and add it to your wall of fame or share with your LinkedIn connections.

✓ BI’s certificates serve as a testament to the knowledge & skills you have gained.

✓ Increase your credibility by adding it to your resume and sharing it with your LinkedIn network. (you need to complete all the modules successfully to obtain this certificate of recognition)

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Meet Your Coaches

Learn from the Best Leaders and Coaches.

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Ruble Joseph

Vice President at eClerx
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Mirza Rahim Baig

Analytics Lead at Flipkart
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Punit Shah

Data Science Lead at Synechron
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Ruble Joseph

Vice President at eClerx
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Mirza Rahim Baig

Analytics Lead at Flipkart
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Punit Shah

Data Science Lead at Synechron
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Anil Chandra Naidu Matcha

Co-Founder at Vadoo
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Geetanjali Prasad

Analytics Head at Nearby Technologies
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Dhiman Mandal

Data Scientist at Ericsson
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Prashant Kumar

Senior Business Analyst at DHL Supply Chain
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Kishan Kanhaiya

Data Scientist at Aptara
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Anurag Mukherjee

Analytics Advisory Senior Analyst at Accenture
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Vedant Dwivedi

Deputy Manager at RELIANCE JIO DIGITAL SERVICES PRIVATE LIMITED
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Akhil Thimmaiah

Senior Manager at eClerx
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Vinal Reddy

Analytics Lead at Flipkart
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Bharath Kumar Bolla

Analytics Consultant (Lead) at Verizon
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Ayushman Dehingia

Senior Business Intelligence Analyst at Dell Technologies
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Gowtham Jayachandiran

Senior Associate at State Street
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10,000+ Happy students

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Our Program
Fees Structure

Starting at 6111/Month

No Cost EMI available*
(Upto 9 months)

Payment Methods
Program Fee (A+B)
(A) Training(i)

(Live classes, Workshops, 1:1 coaching, Projects, Doubt clearing sessions, Hackathons etc.)

  • 65,000 ( 30% OFF)
  • 1,00,000
(B) Career Services(i)

(Aptitude and Soft Skills Training, Portfolio building, Resume and Social Profiling, Mock Interview Training, Career Coaching, Job Connects, Premium Referrals)

  • ISA (1 year)

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