Online Instructor-Led Training
Online Self Paced Videos
Cutting-edge curriculum designed and delivered in collaboration with leading Analytics experts
Get hands-on with 8 industry projects across domains and build a portfolio of demonstrable work
352 hours of Classroom training supplemented by 78 hours of self paced videos and 80 Hours of industry projects/ internship
Get placed at leading Analytics firms with interview prep and opportunities
Data Analytics Course CurriculumThe PGP in Data Analytics comes with a cutting edge industry-aligned curriculum, that offers the right blend of statistics, technical and business knowledge. The curriculum has been designed with multiple industry leaders to ensure that you learn exactly what employers need.
- Overview of Analytics
- Data Analysis
- Data Management
- Linear & Logistic Regression
- Time Series
- Machine Learning
- Bayesian Network & Neural Network Models
Big Data and Hadoop
- Hadoop Eco-system
- HDFS, YARN, MapReduce
- Pig, Hive, Hbase
- Spark and Scala
- Store Data Analytics
- Customer Analytics
- Pig, Hive, Hbase
- Spark and Scala
- Business Communication
- Resume Writing
- Linear & Logistic Regression
- Decision Trees & Segmentation
- Time Series
- KNN, Naïve Bayes, ANN, Support
- Credit Risk Analytics
- Intrusion Detection
- Default Modelling using Logistic Regression
- Document Classification
- Data Frame Manipulation
- Natural Language Processing
- Image Processing
- Other Predictive Modelling Tools
- Course Review/Overall Evaluation
- Capstone Project Framework Induction
- SAS Basics
- Reading and Manipulating Data
- Data Transformations
- Restructuring Dataset
- Store Data Analytics
- Best Practices for Dashboarding and Reporting
- Working with Tableau
- Visualization in Depth
- Data Organization & Mapping
- Dashboards & Data Presentation
- Interview Preparation – HR
- Interview Preparation – HR and Domain
- Mock Interviews – HR and Domain
- Mock Interviews – External Industry Experts
At the end of the training period, you will receive an industry-endorsed certification from Imarticus.
In addition, the program will also thoroughly prepare you to clear the following external certifications, which will accelerate your career path in the Analytics space:
Training MethodologyThe program is delivered using an innovative, experiential learning methodology that blends classroom lectures with instructor-led live virtual classes and self-paced videos that you can consume at your own pace. You will not only gain theoretical knowledge of data science tools, but also gain exposure to business perspectives and industry best practices through guest lectures and project submissions.
Reshma Krishnan, Chief Faculty, explains the Imarticus Learning Methodology
STEP 1: INTRODUCTION
SELF PACED VIDEOS
Instructor-led videos to explain key concepts
Consume at your own pace | Best for Understanding
STEP 2: INSTRUCTION
LIVE CLASSROOM TRAINING
Live Classes with the Instructor to Understand & Practice Concepts in our State of the Art Computer Labs
STEP 3: APPLICATION
FUNCTIONAL CLASS PROJECTS
Apply the Knowledge Learnt in Class through 8 In-Class Projects that Tackle Real World Problems across Various Domains
STEP 4: REINFORCEMENT
INDUSTRY PROJECTS OR INTERNSHIP
Reinforce your Learning through a Rigorous 1 Month Internship at Top Firms or Work on Approximately 80 Hours of Industry Projects that Will be Evaluated by Leading Experts
24/7 SupportYou will also have 24/7 cloud-based, machine agnostic access to all your software to practice at home; unlimited access to all course material on our state of the art learning portal for 6 months; and a dedicated Student Hotline with 24/7 support to help resolve queries.
Case Studies and ProjectsYou will spend approximately 100 hours of this program getting hands-on with industry projects and build a portfolio of demonstrable work.
ETL and data analysis on retail data
- Converting data
- Data manipulation
- Statistical analysis
Classification of human postures using machine learning
- Data extraction, classification
- Feature selection
- Decision trees
Prediction model for fuel economy using machine learning
- Linear and multiple regression
- Accuracy of data model
Retail trade analysis using Hive
- Big Data
- Data analysis
- Combine results
Visualization of data by creating dashboards
- Data formatting
- Create storyline
- Create visual dashboards
Data Analytics Training PlacementsUpon completing the third semester, eligible* candidates can expect placement opportunities across top tier domestic and global Analytics firms.
“The course from Imarticus provides an in-depth understanding of Analytics with hands-on experience. The faculty makes sure to teach us from the scratch in a very effective manner. The best part about the course was that we get to work on datasets from multiple domains. The mock interviews were really helpful in cracking the interview. The Imarticus placement team take genuine interest in your career assistance.”
-Manasa Priya, Placed as Senior Analyst at Genpact
“As a graduate in B.C.A and a fresher, the counsellors at Imarticus helped me with a thorough career counselling session and helped me understand the current industry requirements to have a successful career in Analytics. Thanking and appreciating the efforts put forth by Imarticus training and placement team.”
-Vinay Jagirdar, Placed as Senior Associate at WNS Global Services
LARGE IT COMPANIES WHO HAVE AN ANALYTICS PRACTICE
IN-HOUSE ANALYTICS UNITS OF LARGE CORPORATES
NICHE ANALYTICS FIRMS
The Career Assistance Services (CAS) team works hand in hand with you to further your career aspirations. From the first placement session during the program launch to final mock interviews, we thoroughly prepare you to be interview-ready through resume building sessions, interview preparation and finally mock interviews with a panel of industry experts.
GETTING STUDENTS JOB READY
Refining and polishing the candidate’s resume with insider tips to help them land their dream job
Preparing candidates to ace HR and Technical interview rounds with model interview questions and answers
Preparing candidates to face interview scenarios through 1:1 and panel mock interviews with industry veterans
ACCESS TO OUR PLACEMENT PORTAL
Access to all available leads and references from open and private networks on our placement portal
We provide upto 3 interview opportunities to ensure you get placed
The program is developed in consultation with senior Industry experts to ensure a high degree of relevance in accordance to the needs and demands of the industry.
AdmissionsThe PGP in Data Analytics is ideal for students and professionals who are interested in working in the analytics industry and are keen on enhancing their technical skills with exposure to cutting-edge practices:
Arun has over 14 years experience in Information Technology and has conducted SAS training for Infosys, Wipro, IBM, Genpact, ICICI Bank, Reliance Mutual Fund among others.Read MoreArun is a certified, accredited IT professional who has successfully trained more than 10,000 students in different technologies like SAS and R. Having previously worked as a trainer for companies such as Aptech, NIIT, Ultramax Infonet Education Pvt. Ltd., and Vistaar Systems Pvt. Ltd., Arun is uniquely qualified with many international Microsoft certifications such as MCAD, MCPD, MCTS etc. and he is also a Microsoft-certified trainer.Read More
Yogesh is a research engineer with over 14 years of experience in algorithmic development and proof of concept (PoC) demonstration using MATLAB, C/C++, Python and R.Read MoreHe is the Founder of Y P Consulting Services, which provides specialized services and software solutions in the field of innovation engineering and technology applications. Previously, he has worked as post-doctoral researcher at University of Paul Sabatier and a research & development engineer at Modartt S. A. in Toulouse, France. Yogesh holds a PhD. in Applied Mathematics from University of Paul Sabatier, France and has won over 30 awards for academic excellence.Read More
Sandeep has over 18 years of experience in IT and extensive hands-on expertise in application development involving analysis, design, development and maintenance with 10+ experience in data mining and business intelligence in RDBMS.Read MoreHe has worked across multiple business domains such as Manufacturing, Retail, Banking and Insurance and has experience with large-scale, distributed systems design and development with strong understanding of Big Data and Hadoop.Read More
Satya has 25 years of experience aligning multi-million dollar Information Technology deployments with business strategy and operational processes for Fortune 1000 companies.Read MoreIn the past he has been a management consultant and a negotiator and has consulted in the areas of performance management in enterprise architecture, data mining & analytics, machine learning, pattern recognition, social media analytics and Big Data management & analytics for several start-ups as well as major corporate houses like Infosys and IBM. Satya is a BE – Electronics and Communication from University of Mysore and a MS – Computer Engineering from Florida Atlantic University.Read More
Data Analytics Course Videos
What is the format of the Data Analytics Course?
• 352 Hours of Classroom training
• 78 Hours of Engaging HD Self Paced Videos
• 1 Month Internship or 80-Hours of Capstone Projects
What are the key topics that get covered in the program?
• Base SAS, R, Python, Hive, Spark, Tableau
• Functional Analytics: HR Analytics, Retail Analytics, Supply Chain Management, Credit Risk Analytics and Store Data Analytics
What is the duration of the Data Analytics training course?
What will be the class hours and how many days a week?
• Full time: 4 Days a week (between Tues-Sunday); 6 hours a day
• Part time: 2 Days a week (Sat-Sun); 4 hours a day
Please contact the center for more information.
What study material will be provided to us for the program?
You will be given life-long access to a fully integrated online learning portal where all your learning materials will be uploaded. You will need to log in to the learning portal using the credentials provided and navigate through the portal as required.
What is the eligibility criteria for placements?
• At least 80% Class attendance
• At least 60% Grades in Semester end Assessment (Vivas/Mocks)
• At least 60% Grades in Final Capstone Project Submission
• Resume Signed off by Domain Trainer
• All outstanding fees are paid
I am currently working and cannot take up an internship role. What should I do?
What certification will I receive on completion?
SAS Certified Base Programmer for SAS 9
SAS Certified Predictive Modeler using SAS Enterprise Miner 13
Tableau Desktop 9 Qualified Associate Certification
Is an online training program right for me?
You are comfortable with self-study
You want to learn at your own pace, anywhere and anytime
You do not require constant monitoring or follow-ups by instructors
What are the fees for the Data Analytics course?
You can pay by Credit card, Debit Card or Net banking from all leading banks. In the event you are unable to pay, please contact 18001037480 for further assistance.