Guvi Data Science Course Review
Guvi is an institute offering a Data Science course, in a very peculiar manner. It is affiliated with IIT-M & IIM-A, You can Learn in English, Hindi & தமிழ். It has way more modules & different syllabi with more accuracy in training you. But should you consider this? or for any matter does it seem worth it? Let us explore this today!
Data Science is a dynamic field where dream jobs are flooding in, with millions of opportunities opening so is the competition.
GUVI is an IIT-M & IIM-A incubated Ed-tech company that focuses on providing personalized learning solutions passionate about enabling learners from diverse backgrounds to utilize technology, to bridge linguistic barriers. The group takes great satisfaction in its ability to work together and be creative since they feel that although one idea may start something, teamwork produces amazing results. Learning must be made interesting and understandable through creativity if students are to have one-of-a-kind experiences. One of the main principles is simplicity, emphasizing making technological ideas simple to understand and using this to develop powerful courses. Prioritizing the customer’s demands and producing superior products that offer outstanding value are crucial.
This program is an IIT-M Pravartak Certified Advanced Programmer with Data Science Mastery Program is a leading-edge Technological Program paving your way to an assured professional career. It is an integrated course directed by GUVI – an IIT-M incubated company. Instructed by the industry’s best Technical Experts & Founders(Ex-Paypal Employees), this program offers mentorship through Data Experts and directs you to Fortune 500 companies. The vision is to make the premium organizations discover the Right talent through GUVI’s Zen Class.
Category | Details |
---|---|
Format | Online |
Duration | 3 Months (Weekdays) / 5 Months (Weekends) |
Course | Live Online Classes + Lifetime recorded videos |
Hiring Partners | 200+ Companies |
EMI Options | Upto 12 months |
Placement | Placement Guidance |
This, also pretty much similar to the upGrad BootCamp course.
Module | Title | Description |
---|---|---|
0 | Pre-BootCamp | Basics of competitive programming, data science, and industry trends |
1 | Python | Basics of Python programming: datatypes, loops, data structures, functions |
2 | Python – Advanced | Advanced Python: comprehensions, file handling, regex, OOP, pickling |
3 | Algorithmic Thinking with Python | Data structures, algorithms, memory management techniques |
4 | Data Handling in Python – Pandas & MongoDB | Data handling with Pandas and MongoDB functions |
5 | SQL | Basics of SQL: queries, schemas, normalization |
6 | SQL – Continued | Advanced SQL: joins, date and time functions, subqueries |
7 | Probability and Statistics with NumPy | Basics of probability and statistics with hands-on NumPy |
8 | Probability and Statistics with NumPy – Continued | Descriptive and inferential statistics, hypothesis testing |
9 | Data Visualization in Python | Data visualization with Matplotlib, Seaborn, Plotly |
10 | Data Engineering with Python | Data cleaning, exploratory data analysis techniques |
11 | Exploratory Data Analysis with Python | Preliminary examination of data to uncover patterns and insights |
12 | Machine Learning with Sklearn | Introduction to machine learning: regression algorithms, evaluation metrics |
13 | Machine Learning with Sklearn | Classification algorithms, mathematical intuition, evaluation metrics |
14 | Machine Learning with Sklearn – Continued | Tree-based algorithms, pruning, ensemble methods |
15 | Machine Learning with Sklearn – Continued | Comparison of supervised learning algorithms, training model best practices |
16 | Machine Learning with Sklearn – Continued | Unsupervised learning algorithms, essential mathematical intuition |
17 | Deep Learning | Complex models for high-dimensional data: object recognition, text analysis |
18 | Deep Learning with PyTorch | Implementing deep learning algorithms in PyTorch |
19 | Deep Learning with PyTorch – Continued | State-of-the-art deep learning architectures implementation details |
20 | Natural Language Processing | Handling NLP use cases with machine learning and deep learning |
21 | Computer Vision | State-of-the-art computer vision problems and solutions |
22 | Model Deployment in AWS Cloud Platform | Fundamentals of AWS services for deploying machine learning and deep learning models |
23 | Putting it Together – Solving DS Problems | Industry project work guided by experts |
24 | Mock Interviews | Mock interviews conducted by industry experts, IIT professors, and HR professionals |
Projects are important to build your portfolio, so here are some Guvi Data Science Projects to help you in that
Here is a list of the projects mentioned, without duplicates:
1.COVID-19 Data Visualization
2. Sentiment Analysis
3. Gender and Age Detection
4. Oil Price Prediction
Here’s how the placements work
For further clarification and fee concession, you can contact
Let us measure both the Guvi Data Science Course Review through Advantages & Disadvantage
But, if you are looking for a PG Course in Data Science do check out UpGrad Data Science Course Review from IIIT Bangalore (One of India’s Best selling Data Science Courses)
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