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Data Science Hybrid Training Program

  • Talent demanded by big industries of all sectors
  • Lucrative pay-scale
  • Wide career scope
  • Best in the world hybrid training program
  • Government Scholarships available
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Benefits of Edureka Learning centre

imageFaculty-led Blended Training
  • Pre-recorded concept videos
  • 24X7 faculty support for doubts
imageCertified Program
  • NASSCOM accredited dual certification
  • Highly valued by the industry
imagePractical Learning
  • Industry relevant lab-work
  • Contemporary Case Studies
imagePlacement Assistance
  • Soft-skill training for interviews
  • Access opportunities through job portal
  • Prep support for work-related questions
imageUnique Pedagogy
  • World-Class LMS
  • Pandemic-proof learning support
  • Cutting edge curriculum

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Exciting Industry Trends

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image2.7 Million Profiles
About 2.7 million career opportunities will be created world-wide by next year
image₹10.5 Lakh Average
The average salary for a Data Science professional in India is about ₹10.5 lakh, with maximum going about ₹24 lakh
image28% Growth
The number of Data Scientist roles globally is increasing by 28% year-on-year

Training Benefits

The number of Data Science jobs is expected to grow by 30 % yearly. Knowledge of Data Science coupled with Python programming skills opens up enormous opportunities for Data Science job aspirants. This Data Science course will teach you the essential concepts from scratch and enable you to launch your dream career in this domain.

Annual Salary
Hiring Companies
Annual Salary
Hiring Companies

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Know more about NASSCOM FutureSkills Prime

What is FutureSkills Prime?

A skilling ecosystem focused on emerging technologies, powered by a partnership between the Ministry of Electronics and Information Technology, the Government of India, NASSCOM, and the IT industry. It seeks to propel India to become a global hub of talent in emerging technologies. FutureSkills Prime is one of the lighthouse schemes under the Government’s Trillion Dollar Digital Economy initiative.

Why FutureSkills Prime?

  1. First of its kind government and industry partnership to drive a national skilling ecosystem for digital technologies.
  2. End-to-end skilling from assessment to certification.
  3. Affordable, credible content handpicked by industry leaders.
  4. Speed up learning with bite-sized course modules.
  5. Certifications recognized by the industry

How will I get the NASSCOM FutureSkills certification?

You need to complete the modules successfully to earn a Joint Co-Branded Certificate of Completion by NASSCOM FutureSkills Prime and Edureka. On completing the course, the Learner is eligible for Government of India (GOI) incentives after successfully clearing the mandatory NASSCOM Assessment for which the learner will be awarded a NASSCOM certification. For more details please visit: https://futureskillsPrime.in/govt-of-India-incentives

Who all are eligible for the GoI incentive?

GoI Incentive can be claimed by all Indian Nationals above 18 years of age. The current programme covers beneficiaries divided into the following broad categories:
  1. IT employees in IT Firms and Non-IT firms
  2. Non-IT employees aspiring to use new and emerging technologies in their respective domains
  3. Employees whose skills for a particular job have become outdated.
  4. Central Govt. & State Govt. Employees including employees of PSUs & Autonomous bodies (Govt. Employees)
  5. Fresh Recruits who are yet to take up a job, as well as undergoing/selected for internship & Apprenticeship roles in IT/ ITeS

How do I map my learning journey?

  • 1. Enrolment in the Edureka portal
  • 2. Successful completion of course modules
  • 3. Quizzes, assignments and certificate project submission
  • 4. Assignment and project evaluation by Edureka
  • 5. Joint co-branded certificate of completion from NASSCOM and Edureka
  • 6. Sign up on the FutureSkills Prime platform for mandatory FutureSkills Prime assessment
  • 7. SSC Certificate issuance by Futureskills Prime on successful completion
  • 8. Avail for GOI incentives upon successful completion of FutureSkills Prime assessment

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About your Data Science Hybrid Training Program

Skills Covered

  • Python Programming
  • Data Analysis and Visualization
  • Statistical Foundations
  • Supervised and Unsupervised Machine Learning
  • Model Optimization
  • Data Visualization Using Tableau

Curriculum Designed by Experts

Python for Data Science
7 topics

  • Python Operators and Variables
  • Python Control Flow
  • Python Functions
  • Array Operations Using NumPy
  • Data Pre-processing Using Pandas
  • Data Visualization Using Matplotlib and Seaborn
  • Web Scraping

Probability and Statistics
7 topics

  • Statistical Analysis in Data Science
  • Exploratory Data Analysis
  • Probability Theory
  • Types of Probabilities
  • Bayes’ Theorem
  • Inferential Statistics
  • Hypothesis Testing

Supervised Machine Learning
11 topics

  • Data Pre-processing Techniques
  • Supervised Learning: Regression
  • Linear Regression
  • Gradient Descent
  • Regularization Techniques
  • Supervised Learning: Classification
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Naive Bayes
  • K Nearest Neighbors

Natural Language Processing
5 topics

  • Introduction to NLP
  • Natural Language Toolkit (NLTK)
  • Text Pre-processing
  • Feature Extraction
  • Sentiment Analysis

Unsupervised Machine Learning
14 topics

  • Dimensionality Reduction
  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)
  • Unsupervised Learning: Clustering
  • Hierarchical Clustering
  • K Means Clustering
  • Fuzzy C Means Clustering
  • DBSCAN Clustering
  • Unsupervised Learning: Association
  • Association Rule Mining
  • Market Basket Analysis
  • Apriori Algorithm
  • Recommendation Engine
  • Time Series Analysis

Model Evaluation and Optimization
9 topics

  • Model Selection
  • K Fold Cross-Validation
  • Model Evaluation
  • Model Evaluation Metrics for Regression
  • Model Evaluation Metrics for Classification
  • Confusion Matrix
  • Hyperparameter Tuning
  • Model Optimization
  • Bagging and Boosting

Deep Learning Using TensorFlow
10 topics

  • Introduction to Deep Learning
  • Neural Networks
  • Single Layer Perceptron
  • Multi-Layer Perceptron
  • Backpropagation
  • TensorFlow
  • Image Recognition Using CNN
  • Deep Learning Using RNN
  • Long Short-Term Memory Network (LSTM)
  • Reinforcement Learning (RL)

Data Visualization Using Tableau
5 topics

  • Introduction to Tableau
  • Data Connections and Charts
  • Calculations in Tableau
  • Dashboards in Tableau
  • Story Points in Tableau

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Dual Certifications


Hear from our learners

Vinayak TalikotSenior Software Engineer
Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.
Nidhi SethDevOps Engineer
Nidhi shares her Edureka learning experience and how our Python course helped her gain an edge in her job interviews and land a job.
Shyam VermaTech Lead
Shyam speaks about his learning experience with Edureka and how our DevOps Certification Training gave him the confidence to make a career shift.

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Data Science Hybrid Training Program Training FAQs

Is Data Science a promising career?

Yes, Data Science is in fact one of the fastest-growing jobs and a highly in-demand technology promising high pay and great job growth with an estimated 11.5 million new jobs by 2026. Regardless of your professional background, the Acacia Data Science Program is a great way for you to break into and accelerate your future-proof career in Data Science.

What is the average salary of a Data Scientist?

According to Glassdoor, the job title of Data Scientist pays an average annual salary of $120k in the USA and over ₹11 lakhs per annum in India.

Why should I enroll for Edureka Learning Center’s Data Science Program?

Our Data Science Program has been curated after thorough research and recommendations from industry experts and imparts you the practical knowledge and exposure relevant to the industry needs and offers a certificate and credentials which are highly recognized in today's job market.

What essential skills do you need to become a Data Scientist?

As an aspiring Data Scientist, the most essential skills for your area of work include: Python, Mathematical and Statistical knowledge, Programming skills, Data Wrangling, Machine Learning, Deep Learning, and Data Visualization among others.

Can a fresh graduate get employment after completing this Data Science Program?

Yes, our Data Science Program is suitable for fresh graduates and will enable you to build Machine Learning models using Python. The content for this program is curated by Technology Specialists, Data Scientists from top tech companies based on their experience of developing several successful products. Thanks to their years of experience and domain knowledge, these professionals have instilled all the key concepts in an easily understandable format in this single course. Based on their experience, they have chosen the most important concepts that are fundamental to become a top Data Scientist and crack interviews in top tech companies.