Your cart is currently empty.
This Advanced Certification in Data Science & Data Engineering by E&ICT, IIT Guwahati and Intellipaat is designed by domain experts and is in line with industry requirements to help you master the required skills like Python, Linux, SQL, Machine Learning, Spark and Power BI etc. through real time case studies. Learn from industry experts & become a certified Data Science & Data Engineering professional.
Upskill for Your Dream Job
Live Classes + Projects
E&ICT IIT Guwahati
About the Program
In this program you will get deep understanding of the Data Science and engineering core skill sets like Linux, NumPy, Pandas, Spicy, SQL, Machine Learning, Deep Learning, Azure Data Engineering, NLP and Data Visualization, etc. You will be trained by industry experts & faculty from top universities as well as work on real-time projects and case studies that will help you become proficient in the fastest-growing data science sector.
Free Career Counselling
We are happy to help you 24/7
Partnering with E&ICT, IIT Guwahati
This Certification Program in Data Science & Data Engineering is in partnership with E&ICT Academy IIT Guwahati. E&ICT IIT Guwahati is an initiative of Meity (Ministry of Electronics and Information Technology, Govt. of India) and formed with the team of IIT Guwahati professors to provide high-quality education programs.
Upon completion of this program, you will:
Data Engineer | Bengaluru
Intellipaat helped me to acquire a solid job in the third year of BTech. I received seven job offers, with 30 LPA as the highest CTC. Thanks to Intellipaat for making my career successful.
Product Manager | India
With this course, I switched to the Product Manager role with an 85% hike. They conducted so many interviews, live capstone projects, and resume-building strategies that gave me confidence.
Senior Technical Associate | India
I got promoted to Sr. Technical Associate with a 60% hike after completing this course from Intellipaat. The training taught me new skills and how to implement the same in my current role.
Senior Technical Associate
Data Scientist | India
Becoming a Data Scientist from a Customer Service Agent was possible only due to expert guidance from Intellipaat trainers. Even after working for 10 years in customer care, I am a Data scientist today.
Customer Service Agent
Machine Learning Engineer | India
Intellipaat made my transition from civil engineering graduate to IT industry professional smoothly with its round-the-clock support, excellent curriculum, industry-standard projects, and efficient trainers.
B. Tech — Civil Engineering
Machine Learning Engineer
Data Scientist | Delhi
Intellipaat has given me the confidence that anyone who aspires can become a Data Scientist with its rich course and expert guidance. I managed to switch from a non-tech education background to a Data Scientist.
Data Scientist | Hyderabad
Today, I am a certified Data Scientist and this happened post I enrolled in this program. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this career growth.
Aircraft Maintenance Engineer
Big Data Developer | Dallas
The course helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online interactive sessions by trainers are the best thing about Intellipaat.
Computer Technical Specialist
Big Data Developer
Data Scientist | Bengaluru
Intellipaat offered me the best learning experience, and today, I have successfully transitioned from a Manager in Edutech to a Data Scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.
Manager Analytics & Data Science
Program Manager | Pune
Thanks to Intellipaat, I was able to switch to the role of a Program Manager from a Microsoft Dynamics Consultant. Gaining knowledge of the latest technologies as per industry standards helped me the most.
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
I was able to achieve my goal of becoming a Data Science professional from being a lecturer, due to Intellipaat. It offered a platform to learn Data Science from the best trainers. The real-life projects were good.
Data Science Intern
55% Average Salary Hike
$1,20,000 Highest Salary
12000+ Career Transitions
400+ Hiring Partners
Understand the issues and create models based on the data gathered, and also manage a team of Data Scientists.
Build strategies on frameworks and technologies to develop AI solutions and help the organization prosper.
With the help of several Machine Learning tools and technologies, build statistical models with huge chunks of business data.
Design and build Machine Learning models to derive intelligence for the numerous services and products offered by the organization.
Create and manage pluggable service-based frameworks that are customized in order to import, cleanse, transform, and validate data.
Extract data from the respective sources to perform business analysis, and generate reports, dashboards, and metrics to monitor the company’s performance.
Create overall technical vision for a solution to a specific business problem, while designing, describing and managing the solution.
Azure Data Engineering
1. Non-Relational Data Stores and Azure Data Lake Storage
1.1 Document data stores
1.2 Columnar data stores
1.3 Key/value data stores
1.4 Graph data stores
1.5 Time series data stores
1.6 Object data stores
1.7 External index
1.8 Why NoSQL or Non-Relational DB?
1.9 When to Choose NoSQL or Non-Relational DB?
1.10 Azure Data Lake Storage
Definition, Azure Data Lake-Key Components, How it stores data? Azure Data Lake Storage Gen2, Why Data Lake? Data Lake Architecture
2. Data Lake and Azure Cosmos DB
2.1 Data Lake Key Concepts
2.2 Azure Cosmos DB
2.3 Why Azure Cosmos DB?
2.4 Azure Blob Storage
2.5 Why Azure Blob Storage?
2.6 Data Partitioning: Horizontal partitioning, vertical partitioning, Functional partitioning
2.7 Why Partitioning Data?
2.8 Consistency Levels in AzureCosmos DB: Semantics of the five-consistency level
3. Relational Data Stores
3.1 Introduction to Relational Data Stores
3.2 Azure SQL Database – Deployment Models, Service Tiers
3.3 Why SQL Database Elastic Pool?
4. Why Azure SQL?
4.1 Azure SQL Security Capabilities
4.2 High-Availability and Azure SQL Database: Standard Availability Model, Premium Availability Model
4.3 Azure Database for MySQL
4.4 Azure Database for PostgreSQL
4.5 Azure Database for MariaDB
4.6 What is PolyBase and Why PolyBase?
4.7 What is Azure Synapse Analytics (formerly SQL DW): SQL Analytics and SQL pool in Azure Synapse, Key component of a big data solution, SQL Analytics MPP architecture components
5. Azure Batch
5.1 What is Azure Batch?
5.2 Intrinsically Parallel Workloads
5.3 Tightly Coupled Workloads
5.4 Additional Batch Capabilities
5.5 Working of Azure Batch
6. Azure Data Factory
6.1 Flow Process of Data Factory
6.2 Why Azure Data Factory
6.3 Integration Runtime in Azure Data Factory
6.4 Mapping Data Flows
7. Azure Data Bricks
7.1 What is Azure Databricks?
7.2 Azure Spark-based Analytics Platform
7.3 Apache Spark in Azure Databricks
8. Azure Stream Analytics
8.1 Working of Stream Analytics
8.2 Key capabilities and benefits
8.3 Stream Analytics Windowing Functions: Tumbling window, Hopping Window, Sliding Window, Session Window
Data Science Capstone Projects
Business Case Studies
The application is free and takes only 5 minutes to complete.
Projects will be a part of your Certification in Data Science & Data Engineering to consolidate your learning. It will ensure that you have real-world experience in Data Science and Data Engineering.
Use Python 3.5 (64-bit) with OpenCV for face detection. The learners must ensure that the system will have to detect multiple faces in a single image. Students must work with essential libraries such as CV2 and Glob.
In this project, the learners will get to work with the IBM Watson AI chatbot, create their own AI chatbot, and see how the IBM cloud helps them create a chatbot on the backs of possibly the most advanced machine learning systems available.
Work with Ensemble Model for predicting annual restaurant sales using various features like opening data, type of city, type of restaurant. Work with packages like caret, Boruta, dplyr to analyze the dataset and predict the sales.
Work with PySpark which is a Python API for Spark and use the RDD using Py4J package. As an important part of the project, you will also work with SparkConf that provides the configurations for running a Spark Application.
Work with packages like a recommended lab, dplyr, tidyr, stringr, corrplot and many others to create your book recommender engine using the ‘user-based collaborative filtering’ model that recommends the books based on past ratings
Work with census income dataset from UCI Machine Learning repository that contains income information for more than 48k individuals. Use data handling techniques to handle missing values and also predict the annual income of people.
In this project on housing price prediction, get a practical exposure on how to work with house price dataset and predict the sale price for each house with 79 explanatory variables describing every aspect of the houses.
Learn to work with the HR Analytics dataset and understand how methodologies can help you to re-imagine HR problem statements. Understand the features of the dataset and in the end, evaluate the model by metric identification process.
Work with the dataset taken from the famous jester online Joke Recommender system and successfully create a model to predict the ratings for jokes that will be given by the users (the same users who earlier rated another joke)
Create a recommending engine by using the SVD algorithm to predict movies on Netflix based on their past ratings. Work with various packages, such as NumPy, pandas, matplotlib and Pyplot, to handle missing values from the dataset.
Extract various Pokémon based on a particular parameter and use a classification model to predict the legendary Pokémon. Work with the regression algorithm to predict the attack and defense of a particular Pokémon.
The training and support team are highly cooperative. The best thing about it is the prompt support. The trainers are well-versed with the concepts and great content.
I am happy to have enrolled in this data science program. The syllabus is organized and the course is well designed. Best features are the 24*7 support and trainers who are domain experts.
Intellipaat offers a well curated rich learning content which I liked the most. The set of PPTs, PDFs, and other course material were of highest quality, due to which my learning was great too.
This advanced certification is outstanding. The trainer is an experienced Data Scientist who has a good hold on the concepts. Now I am a confident data science professional and joined a reputed firm.
Best Data science course with placements. I was able to upgrade my skills with the help of the rich content and expert training by instructors who carried good experience in the domains.
It was a wonderful learning experience to learn from the trainers at Intellipaat. They were hands-on and provided real-time scenarios. Intellipaat is the right place for learning latest technology.
The candidates from Intellipaat were very good. They are better than experienced people from the same domain. The learners had hands-on experience. The product managers were very happy with the job-ready recruits.
Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.
Get assistance in creating a world-class resume & LinkedIn Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.
Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Tell us a bit about yourself and why you want to join this program
An admission panel will shortlist candidates based on their application
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
|Program Induction||26th March 2023||08:00 PM IST||Weekend (Sat-Sun)|
|Regular Classes||26th March 2023||08:00 PM IST||Weekend (Sat-Sun)|
This is one of the best data science and data engineering certification courses as it is designed keeping the industry requirement in mind to provide you with required expertise to handle various aspects of data science and data engineering roles and responsibilities. The career prospects that you will achieve post the completion of the course are innumerable and have highly lucrative opportunities.
The Advanced Certification in Data Science & Data Engineering is offered by E&ICT, IIT Guwahati and Intellipaat. These instructors aim to make you proficient in the field of Data Science & Engineering and have designed a curated curriculum in the form of online video lectures and projects. The course is designed to help you gain in-depth knowledge in Data Science & data Engineering concepts, apart from providing hands-on experience in these domains through real-time projects.
If you fail to attend any of the live lectures, you will get a copy of the recorded session in the next 12 hours. Moreover, if you have any other queries, you can get in touch with our course advisors or post the questions on our community page.
On the successful completion of the training program and the fulfillment of all the requirements, including successfully passing the certification exam by Intellipaat, you will be awarded an Advanced Certification in Data Science & Data Engineering by E&ICT, IIT Guwahati.
Intellipaat is known for its quality training and industry mentorship. Our alumni are placed in reputed organizations globally such as Amazon, Microsoft, Genpact, Sony, Gartner, etc. Our learners also get lifetime access to free upgrades and learning material, which will help them at any point of time in their career.
By enrolling with Intellipaat’s data science & engineering courses online, you will be able to take advantage of exclusive career guidance benefits, interview preparation, etc.
On an average the starting salary of a data scientist is 10 LPA and that of a data engineer is 9 LPA. You can also check our dedicated blog on Data science salary in India based on various job roles.
Learners need to devote at least 8–10 hours per week for effective learning. Our live classes are flexible, and hence, working professionals can easily manage their learning and job together.
The duration of this program is 9 months, which includes 8 months of live sessions, and 1 month of multiple project hours, and real-life assignments.
What is included in this course?
I’m Interested in This Program