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Data Science Fundamentals & Advanced Bootcamp
Book Your Seat With As Low As INR 5,000/- only Duration of the program - 6 months Limited no. of seats available
Book Your Seat With As Low As INR 5,000/- only Duration of the program - 6 months Limited no. of seats available
Learn from World Class Data Scientists and International Data Science Publishers to become job ready
Get reports on strengths and weaknesses on tech skills through coding on CloudLabs
Learn over 20 tools and technologies through real life industry projects
Career coaching includes mock interviews, CV, LinkedIn, Github and soft skills training
Get access to 10X more job opportunities and get ahead of your peers
Become trained to join the workforce through interactions with tech industry leaders
This module helps you take your first steps towards becoming a successful Data Scientist. You will be introduced to the fundamentals of MS Excel, Learn about formatting concepts, formulas and Statistical Analysis using Excel, Learn the meaning and utility of algorithms, loops, and flow charts, Understand how computers, operating systems,and the World Wide Web works.
In this module you will learn how to store, manipulate, and retrieve the data along with the advanced visualisation techniques using Matplotlib, Seaborn and Plotly. You will master converting the raw data into high order operations and perform analysis using NumPy and Pandas.
During this module you'll learn about linear algebra and calculus and their applications in Data Science, You'll also get a comprehensive understanding of Machine Learning, Linear Regression, Naïve Bayes and Support Vector Machine along with understanding the difference between Bagging and Boosting in Machine Learning.
Discover the various elements of the Hadoop Ecosystem and how they can be used to solve Big Dataproblems. Understand how Relational Data Processing works in Spark and perform real-time Stream Processing Using Apache Spark and with Amazon Kinesis. You will then get a thorough understanding of Spark SQL and Understand how to deploy Machine Learning models to make inferences using Amazon SageMaker.
This module strengthen your fundamentals of Natural Language Processing (NLP) and provides the hands-on experience with TextBlob and then Spacy. You will be performing sentimental analysis and creating chatbots and gain in depth understanding of Deep Learning, TensorFlow, and how Neural Networks work. You will also gain the exposure of understanding the application of AI in the real world.
Explore the fundamentals techniques of Algorithm Analysis, Linked Lists and Binary Trees. You will also learn about the Advanced Data Structures and how to analyze the Asymptotic Performance of Algorithms. Learn Algorithmic Design Paradigms and Methods of Analysis and Microservices Architecture and its Implications.
Build intelligence on variables of user behaviour based on transactions and selections to identify and recommend products.
Build navigational intelligence to predict when a trip would end, and the next trip to be assigned to a particular cab.
Build intelligence on the possibility of forest fires in advance to take precautionary measures and avert its occurrence.
Build intelligence on emotions used in speech to frame more appropriate responses based on the situation at hand.
Build intelligence on climate change by generating graphical images with the use of monthly temperature to predict changes.
Build intelligence to execute trading orders based on variables like price, time, and volume via automated instructions.
Identify and manage the risk linked to a specific business process by using operational metrics and threat intelligence.
Build intelligence on an organization’s health to indicate if it will be profitable or moving towards bankruptcy.
Build predictive intelligence around the movement of volatile crypto currencies to bring stability to their investments.
Build navigational intelligence to predict delays in public transportation that can be communicated to fellow travellers.
Build intelligence on what players a team would require, helping improve its chances of winning while being cost-effective.
Build intelligence on crime zones via visual analytics and machine learning algorithms to predict and prevent more crime.
Build intelligence on the stickiness and effectiveness of e-learning content in engaging students to learn.
Build intelligence on the effectiveness and success rate of classroom training, the teacher, and content being taught.
Build intelligence around chess movements to predict future moves of players via deep learning and reinforcement models.
Build intelligence in identifying trolls via comments so as to deactivate such accounts using machine learning models.
| Video Course | Bootcamps | upGrad | |
|---|---|---|---|
Cloud Labs |
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Industry projects |
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Interview Opportunity |
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Career guidance sessions |
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Performance Report |
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MAANG instructors |
| Tenure (Monthly) | Interest (Flat) | EMI |
|---|---|---|
| 12 | 10.25 | INR - 8,269 |
| 18 | 10.25 | INR - 5,769 |
| 24 | 10.25 | INR - 4,519 |
| 36 | 10.25 | INR - 3,269 |
| Tenure (Monthly) | Interest (Flat) | EMI |
|---|---|---|
| 12 | 17.5 | INR - 8,250 |
| 18 | 17.5 | INR - 5,750 |
| 24 | 17.5 | INR - 4,500 |
| 36 | 17.5 | INR - 3,250 |
| Tenure (Monthly) | Interest (Flat) | EMI |
|---|---|---|
| 12 | 10.25 | INR - 11,983 |
| 18 | 10.25 | INR - 8,360 |
| 24 | 10.25 | INR - 6,548 |
| 36 | 10.25 | INR - 4,737 |
| Tenure (Monthly) | Interest (Flat) | EMI |
|---|---|---|
| 12 | 17.5 | INR - 11,955 |
| 18 | 17.5 | INR - 8,332 |
| 24 | 17.5 | INR - 6,521 |
| 36 | 17.5 | INR - 4,710 |
My overall journey has been great. My mentor and trainer have been super supportive. They help everyone in the batch follow the curriculum... Show More
I enjoyed this Data Science program a lot. Most importantly for me, I learnt about Python and Data engineering-related Big Data tools... Show More
I relish live, online sessions and understanding the content in detail. I learnt Python and Data Analysis via this program... Show More
After 8 years of journey, I have always been looking for continuing my studies. Then after comparing through multiple options, I finally chose... Show More
My journey at upgrade has been nothing but a rollercoaster ride full of fun and excitement. I was looking for ways to add some skills to my skill set...Show More
While looking to upskill myself, I found Upgrad. It was a tremendous journey over the last year. The program has helped change my perceptions... Show More
My overall journey has been great. My mentor and trainer have been super supportive. They help everyone in the batch follow the curriculum seamlessly.
My overall journey has been great. My mentor and trainer have been super supportive. They help everyone in the batch follow the curriculum seamlessly. The program gets a bit difficult when it comes to the technical / software aspects, but there's no reason to worry. In such a situation, I suggest that all the beginners put additional efforts towards self-study and raise doubts when you feel something's incorrect so that you understand concepts fully.
To the learners like me who joined the course as beginners in the tech domain, I'd like to convey a message - you don't have to lose or be low on confidence just because you are a beginner. I assure you that upGrad has all the relevant content that you need to follow. I have myself given more than 50+ interviews, out of which I got rejected 23 times. Don't lose hope. Understand what you did wrong, make notes with the help of the course content, and implement your learnings. Once I did that, I got offers from 15+ companies.
The key is to not lose hope or confidence and keep practicing.
I relish live, online sessions and understanding the content in detail. I learnt Python and Data Analysis via this program. The trainers are excellent.
I don't have any tech experience, but I was interested in the field. Having completed my Master's in Mathematics along with a course in Microsoft Excel, by reason for enrolling in this Data Science program was quite different. I have an avid interest in the stock market, and my intention was to learn Data Analysis. This is so that I can practice Risk Analysis and reduce the scope of loss in my stock market career.
After 8 years of journey, I have always been looking for continuing my studies. Then after comparing through multiple options, I finally chose Upgrad because of the flexible timings and reviews from my colleagues. With Pandemic grasping the nation, and work from home changes in life, studying was not so easy. But with support from my family and experts at Upgrad, I was able to learn so many things. Upgrad has provided a path to learn, support for profile building and many other opportunities that will help me in transition in the field of Data Science.
My journey at upgrade has been nothing but a rollercoaster ride full of fun and excitement. I was looking for ways to add some skills to my skill set but really didn’t want to go through all those certificate courses which don’t hold much value. This is when I heard of Upgrad’s diploma program and was instantly interested in it. Their curriculum blew my mind and already being in the tech industry for the past 3 years at the time of joining I knew how much impact it would have on my career. During the course, I realized my true potential that how much I can do just by managing my time in an efficient manner. Not only I learned new skills but came to learn a new way of working more efficiently. I’m not gonna lie, this course was not easy. Meeting the deadlines became a headache but in the end, this is what made me feel rewarding.
All credit goes to the wonderful Post Graduate Certificate Program in Full Stack Development by upGrad. It helped me upscale my skill sets, identify possible job openings, and I really appreciate all that upGrad has done for me. While the world is still recovering from this pandemic, assuring young people with "Job Assurance," which is so comforting as an individual.
While looking to upskill myself, I found Upgrad. It was a tremendous journey over the last year. The program has helped change my perceptions of resolving problems at work. The beneficial course helped me bag a 75% hike in the data science field
I enjoyed this Data Science program a lot. Most importantly for me, I learnt about Python and Data engineering-related Big Data tools.
I pursued this program to leverage my technical expertise to work as a Data Engineer and make a difference in the organization. I have 5 years of technical experience and have worked with TCS as System Engineer for around 4 years. As a part of multiple Data Integration Projects, I've extensively worked on Informatica Power center, SQL for supporting Data Extraction, Transformations, and Loading.
The PRISM platform helps with coordination of theory and practical knowledge. Overall, the program was filled with learning. I enjoyed learning from trainers who are just not successful in transferring knowledge but also come with rich industry experience.
There is no prerequisite for the Data Science Bootcamp. Even without any prior programming or analytics expertise, learners can enroll in this bootcamp that features best-in-class live training, plenty of hands-on exercises and assignments with Cloud Lab.
The program will train you to apply for roles like Data Scientist, Data Analyst, Business Analyst, Big Data Engineer, Statistician, Business Intelligence Developer. That said, the outcome entirely depends on the time you dedicate to this course.
Yes, any form of work experience, irrespective of the roles you are currently in, will be considered as work experience.
The qualifying test will check your logical reasoning and English language skills (as the mode of instruction is in English).
Not to worry. You have one more chance to reappear for the entry test.
Medium of instruction and program delivery is 100% English and we expect candidates to know English as a mandatory language to apply for the program.
Yes, you can still apply for the program.
At the time of admission, having an Indian government identity is mandatory.
There would be live sessions conducted on the weekends. To successfully complete the program, you need to attend at least 80% of these sessions.
We want all our learners to pursue the curriculum we have designed for you to gain an entry into the world of full stack development. There are no shortcuts to this program.
upGrad’s programs are recognized by the industry. You surely can apply to any company by creating an impressive resume with industry projects.
You just need to go through our T&C and accept it to be eligible for placements.
Yes, you will receive the program completion certificate considering that the exit criteria is met by the student as per policy.
No. But our obligation to get an invitation for the inteview will end with the first job offer you receive.
No. It is mandatory for students to attend lectures as per defined program schedule and required to maintain 80% attendance for all live deliverables (lectures, mentorship calls).
Program duration is of 6 months. Career services period starts post successful completion of the progam and is of 6 months duration.
We are offering you this program at competitive rates. Hence, we are not offering any discounts, however, we have a lot of financing options to support you to do this program.
We have EMI options with financial institutions for flexible tenures.
Each loan partner would have a different set of documentation requirements for the EMI. upGrad SPOC will guide you through the admission process.
The user will have to bear standard charges as applicable as per loan partner policy.
Yes, you need to pay a block amount to confirm your enrollment in the program
The Guaranteed Interview Opportunity Program provides prospective learners from partner companies with a clear path to earn an interview. Each company requires that learners complete the program requirements outlined by upGrad.
Prospective learners that have met the criteria will be provided an opportunity to interview with the partner companies.
Qualified learners should will be contacted by upGrad's placement team during the 6th month or within six months following successful program completion.
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