nsdc skill Dataisgood

Professional Certification Program in
Data Science & A.I

This course is recognized by the National Skill Development Corporation , a PPP under the Ministry of Skill Development and Entrepreneurship of the Government of India. You will receive a certificate cobranded by NSDC and Skill India on successful completion.

Apply Now, Seats are filling fast!

Next Batch start on

16th Feb 2024

DURATION

06 Months | Online

360 degree

Placement Assistance

ELIGIBILITY

Freshers, Working Professionals

nsdc skill Dataisgood

Professional Certification Program in
Data Science & A.I

This course is recognized by the National Skill Development Corporation , a PPP under the Ministry of Skill Development and Entrepreneurship of the Government of India. You will receive a certificate cobranded by NSDC and Skill India on successful completion.

DA6 background Dataisgood

Next Batch start on

24th Feb 2024

DURATION

12 Months | Online

360°

Placement Assistance

ELIGIBILITY

Freshers, Working Professionals

Key Highlights

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

100 Dataisgood

Dedicated Career Coach

Dedicated Dataisgood

200+ Hours of Instructor-Led Training

200 1 Dataisgood

Expert-Led Live Sessions

Professional Dataisgood

Certification from NSDC & Skill India

500 Dataisgood

Industry-Relevant Curriculum

Dataisgood

Continuous Career Support

Turning Pages, Turning Careers

Get Free E-Books to Propel Your Professional Growth

06 Months | Online Learning with 24 x 7 Support

Course 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.

  • Introduction to Python and Data Science
  • Control Flow Statements
  • Functions in Python
  • Regular Expressions
  • Object Oriented Programming
  • Getting Started with SQL: Data Creation and Retrieval
  • Data Filtering and Exploration
  • Data Analysis using Aggregate Function & Group By
  • Join and Keys
  • Joins and Keys
  • SQL Query Optimization
  • Introduction to Statistics
  • Probability Theory
  • Statistical Inference I
  • Statistical Inference II
  • Regression Analysis 
  • Using Python Numpy Library
  • Linear Algebra and Numpy
  • Data Preprocessing with Pandas
  • Extracting and Aggregating Pandas
  • Data Visualization with Matplotlib and Seaborn
  • Data Cleaning and Processing
  • Feature Extraction and Transformation
  • Feature Selection and Dimensionality Reduction
  • Modeling with Linear Regression
  • Regularisation Techniques
  • Modeling with Logistics Regression
  • Understanding other Classification Algorithm
  • Introduction to Clustering and K Means
  • Decision Tree Classifier
  • Introduction to the Concept of Bagging
  • Introduction to the Concept of Random Forest
  • Introduction to Boosting
  • Introduction to Extreme Gradient Boosting
  • Introduction to Recommendation Engines
  • Decision Tree Classifier
  • Introduction to the Concept of Bagging
  • Introduction to the Concept of Random Forest
  • Introduction to Boosting
  • Introduction to Extreme Gradient Boosting
  • Introduction to Recommendation Engines

Select any one elective from list mention below

time series analysis Dataisgood

Time Series Analysis and Forecasting

  • Introduction to Time Series Analysis
  • Times Series Forecasting using Arima

nlp Dataisgood

Natural Language Processing

  • NLP Fundamentals
  • Feature Engineering in NLP & Text Classification
  • Feature Extraction & Feature Encoding for NLP
  • Introduction to Word Embeddings
  • Advanced Word Embeddings used to solve NLP Problems
  • NLP Text Classification End to End Project From Kaggle

  • Building Blocks of Deep Learning
  • Introduction to Recurrent Neural Network
  • Overview of LSTM and GRU
  • Introduction to Convolutional Neural Network (CNN)
  • Overview of Transformers and Auto Encoders

This internship is a part of the course curriculum to help you gain real experience in the Data Science domain.During this internship, you will go through various challenges which you allow to explore new skills and push your limits while learning something new during the projects.

Topics Covered :​

Technical skillset and your soft skills combine to make you employable. In order to make our learners employable, dedicatedly placement-oriented sessions are conducted while highlighting the use of Github, Linkedin, and other tools during the job search.

Topics Covered :

Dataisgood offers top-notch placement opportunities. With strong industry ties and modern training, we excel in placing our candidates. Our results speak to our commitment to shaping successful careers. Our approach ensures to open pathway for learners to achieve good growth in the domain

Activities Covered :

Comprehensive Curriculum

The curriculum has been designed by faculty from Expert Industry Professionals and NSDC

200+

Hours of Content

100+

Live Sessions

15+

Tools & Software

Languages and Tools that you will learn​

Hands-on Course Projects

Alumini Highlight's

120+

Global Companies

117K PA

Average CTC

183K PA

Highest CTC

70%

Average Salary Hike

Roles Offered in Data science Field 1 Dataisgood

Data Science Batch Profile

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Industry Diversity

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Success Stories

Meet some of our Extremely Talented and Hardworking Alumnus at Dataisgood Career Transition Programs who achieved their Dream Jobs as a Data Scientist and Data Analyst in some of the Most Reputed MNCs and Startups.

The Dataisgood Advantage

Learn how to use data science techniques in practical situations and develop the skills needed to create effective Data Science career. To get ready for success in the field, take advantage of networking opportunities, individualised support, and hands-on training.

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One-to-one Individualised Support and Direction


  • 1:1 Free Unlimited Doubt clearing sessions
  • 1:1 Student support
  • Challenges during hackathons to hone your talents
  • E-portfolio to display your skills
  • 1:1 Personality development classes

1 Dataisgood

Get Ready with Domain Experts


  • Learn from top Data Scientist Educators from the Country through a Live Online classroom.
  • 24X7 Support from Teaching Assistants for Help in Assignments, Discussions, and Doubts Resolutions.

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Industry Leaders for Professional Grooming


  • Know what’s Happening inside the industry, and What’s really required to make it through by engaging with Data Scientist
  • Accompany them with sessions on Hiring, Day-to-Day Life of a Data Scientists etc.

5 Dataisgood

Benefit of Networking with Professionals


  • Grow and Develop your Career with the Help of similarly motivated and Highly energetic Peers.
  • Get to know How our Alumni Started their Career in the Emerging Field of Data Science.

Program Eligibility Criteria and Prerequisites

Qualification

Graduation (Any Stream)
or
In the final year of Graduation

No programming experience needed

We'll teach you everything you need to know

Internet

A Mac/Laptop or PC computer with access to the internet

Software

We'll walk you through, step-by-step how to get all the software installed and setup.

history

Time

Minimum of 5 hour's self study to attend a 90 to 120 Min weekend session.

team-communication

Communication Skills

Sound Knowledge of English Language.

Our Hiring Partners

Application Process

Step 1 Dataisgood

Career Counselling

Data Science Career Counsellor will reach out for understanding the eligibility. If a student is eligible for the program. The Student will be shared an acceptance letter.

Step 2 Dataisgood

Easy Registration

After receiving an acceptance letter students can book their seats by paying the Booking amount.

Step 3 Dataisgood

Start Upskilling

Start your learning journey with Dataisgood and unlock your potential of reaching greater heights in the field of Data Science.

Upcoming Application Deadline

Once the required amount of applicants sign up for the subsequent batch, our admissions are closed. To guarantee your spots, apply early.

Deadline : July 18, 2024

Join more than 4,00,000 Students worldwide

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 career ahead.

Still have queries?
Contact Us

Please fill in the form and an expert from the admissions office will call you in the next 4 working hours.
You can also reach out to us at

Frequently Asked Questions

For your capstone project, you’ll tackle a real-world data problem from end to end. Develop a pitch and problem statement, source and collect relevant data, conduct an exploratory data analysis, and build a predictive model.
You’ll document and share your findings through a presentation, technical report, and non-technical summary. Throughout this Accelerator Course you’ll also compile a portfolio of projects designed to reinforce what you’ve learned in each unit.

Yes, Of Course.

You will get Assistance from our Teaching Assistants any time you wish.

The Teaching Assistants will help you to complete the Capstone Project if you face any difficulties. Apart from that our Mentors and Instructors will also help you to Come up with New and amazing ideas for the Capstone Project.

You will get access to unlimited doubt resolution sessions any time as per your convenience. We have a team of highly skilled subject matter experts who are available through out the course duration to help you. You can request for doubt resolution session directly through out WhatsApp communication channel.

This programme is designed for students looking to start career into the data domain. Considering the requirements of different data roles in the industry, the curriculum is divided into two tracks. The track will run for the first 5-6 months that where you will get to learn Basics of SQL, Python, Statistics and EDA. In the second track you will get to learn more advanced content such as Basic Machine Learning Models, Advanced Machine Learning, Neural Networks, Advanced Machine Learning, Natural Language Processing, Building Data Pipelines, Data Streaming and AutoML.

You will require to dedicate atleast 12-15 hours per week to fully learn and understand the basic concepts covered during the course. This much time commitment is expected to be able to achieve complete learning outcomes offered from the programme.

The content will be a mix of interactive lectures from industry leaders as well as Expert faculties. Additionally, the programme comprises of live lectures, Ebooks, Study Notes, Self Learning Materials, Practice Datasets and Projects which will enhance your learning experience. Case studies and group projects will also facilitate peer-to-peer interactions.

Yes, Of course.

Additionally you will also get a certificate for the completion of your Capstone Project towards the end of the Programme.

Download Brochure

Check out the program and fee details in our brochure