FREE Master Class in
Data Science & A.I.
How To Land Your First Job In Data Science Without Having A Zero Knowledge Of Coding
This Program is Best For
✅ Looking for Secure Future
- Data Science and AI are at the forefront of technological evolution. Equip yourself with these in-demand skills and set the course for a secure and prosperous future.
✅ Working Professionals
- If you’re a working professional aiming for a significant career shift into Data Science, this course will be your springboard. Get ready for a major salary boost and position yourself as an industry expert.
✅ Non-Technical Background
- No coding experience needed! Start from the basics and become proficient. Ideal for career switchers new to tech.
✅ Looking for Upskilling
- Feel stuck in your current role? Our course is designed to inject momentum into your career, giving you the skills you need to climb up the corporate ladder swiftly.
✅ Data Enthusiast
- From risk assessment to customer analytics, Data Science has applications across business and finance sectors. Take our course to leverage data in making more informed decisions.
✅ Business & Finance
- From risk assessment to customer analytics, Data Science has applications across business and finance sectors. Take our course to leverage data in making more informed decisions.
✅ Graduated
- Just graduated and wondering what’s next? Don’t be a part of the crowd. Specialise in Data Science and AI and stand out from the get-go.
✅ Freelancers
- Gain valuable skills to diversify your offerings and attract high-paying clients in the tech industry.
Testimonials
Clarity to Succeed
"I always knew one needs a structured plan to achieve anything in life. But for data science, the ecosystem is so vast, it’s easy to get lost. This RSPI blueprint brings extreme clarity"
Focus needs Blueprint
"For months, I have been going around in circles and can't figure out how to make a promising career in data science, until I was introduced to data science RSPI Framework from Dataisgood."
Right Career Choice
" 4 Step Blueprint i.e RSPI Framework helped me to pinpoint the right career choice. If you feel like going through the same things which I had. Then don't wait. Register for the workshop now"
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.
400+ Hours of Instructor-Led Training
Dedicated Career Coach
150+ Hours of Self Paced Training
Professional Certification Program
500+ Exercises and Assesment
24/7 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.
- Semester-I
- Introduction to Python and Data Science
- Working with Python Data Structures
- Control Flow Statements
- Functions in Python
- File Handling in Python
- Regular Expressions
- Object Oriented Programming
- Advanced-Data Structures in Python
- Introduction to SQL and MySQL
- Data Creation and Retrieval
- Data Filtering
- Data Analysis using aggregate functions and group by
- Joins and Keys
- MySQL Joins
- Subqueries and Views
- Window/Analytical Functions
- Case Study
- Introduction to Statistics
- Probability Theory
- Statistical Inference I
- Statistical Inference II
- Regression Analysis I
- Regression Analysis II
- Unleashing the Power of Excel
- Data Analysis with MS Excel
- Summarizing and Forecasting
- Macros and Dashboarding
- Excel Project Session
- Semester-II
- Extracting and Aggregating Pandas
- Matplotlib and Seaborn
- Plotly and Cuffinks
- Introduction to Data Cleaning and Data Types
- Exploring and Visualization the missing values
- Advanced-Data Cleaning Concepts
- Introduction to Feature Engineering
- Feature Extraction and Transformation
- Feature Selection and Dimensionality Reduction
- Modeling with Linear Regression
- Evaluating Models & Feature selection
- Regularisation Techniques
- Modeling with Logisitc Regression
- Understanding other classification
algorithm like KNN & SVM - Advanced Model Evaluation Techniques
- Introduction to Clustering and K Means
- Advanced Clustering Techniques
- Semester-III
- Introduction to Decision Trees
- Implementation of Decision Trees
- Introduction to the Concept of Bagging
- Introduction to Concept of Random Forest
- Introduction to Boosting
- Introduction to extreme Gradient Boosting
- Introduction to Imbalanced Machine Learning models
- Introduction to Recommendation Engines
- Introduction to Time Series Analysis
- Preprocessing and Visualization of Time Series Data
- Time Series Forecasting using ARIMA
- Exponential Smoothing Models for Time Series Forecasting
- Machine Learning Models for Time Series Forecasting
- Time Series Forecasting using Prophet
- NLP Fundamentals
- Feature Engineering in NLP & Text Classification
- Advanced-Data Cleaning for NLP text classification
- Feature Extraction & Feature encoding for NLP
- Introduction to Word Embeddings
- Advanced word embeddings used to solve NLP problems
- More about advanced NLP
- NLP text classification end to end project from kaggle
- Building blocks of Deep Learning
- Understanding the Components of a Neural Network
- Introduction to Recurrent Neural Networks
- Overview of LSTM and GRU
- Introduction to Bidirectional Networks
- RNN Use Cases in the Industry
- Introduction to Convolutional Neural Networks (CNN)
- Overview of Transfer Learning
- Introduction to Transformers
- Overview of AutoEncoders
- Internship Program
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 :​
- Integration with Python and SQL
- Types ML Model Evaluations
- Web Scrapping
- Introduction to Big Data
- Data Cleaning with Excel and Python
- Big Data Procession with Spark
- Data Visualizing with Python
- Model Deployment in Cloud Service
- Data Visualizing Tools (Power BI)
- Internship Project-2 (Main Project)
- Types of Machine Learning Models
- Submission & Graduation Ceremony
- Machine Learning Model Selections
- Soft Skills Program
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 :
- Building A World-Class Resume
- Effective Job Search
- Networking via LinkedIn
- Writing Mails and Cover Letters
- Github for Professionals
- Interview Skills
- Electives Program
Select any one elective from list mention below
Business Intelligence Tool (Power BI / Tableau)
Deep Learning with Computer Vision
Deep Learning with NLP
- Placement
Comprehensive Curriculum
The curriculum has been designed by faculty from Expert Industry Professionals and NASSCOMÂ
400+
Hours of Content
150+
Live Sessions
15+
Tools & Software
But, why Become a
Data Scientist?
₹34.7 LPA
Experienced Data Scientist earn
an average of ₹35 Lakhs per annum
35000+
There are more than 35000 openings
for the role of Data Scientist
6000+
There are more than 6000 remote opportunities for Data Scientist
