Question 1

What is the learning methodology for this course and how is it unique?

Accepted Answer

This PG program is a thoroughly engaging, full-time course dedicated to helping you get a high-paying job in the Data Analytics industry. The faculty will cover every Data Analytics concept from scratch, and help you practice what you learn with rigorous business exercises and hands-on projects throughout the course. You will participate in multiple discussions with your peers and share knowledge with each other. You will learn about the applications of Data Analytics through real-world case studies, bootcamps and industry guest lectures. You will get recorded lectures and student notes that will prepare you for a Data Analytics career. You will be expected to finish all your assignments on time. In order to truly boost your skills, we will organize a competitive Hackathon, where multiple aspirants across India will participate and compete with each other. Each critical element of the program will be graded and your performance will be closely monitored.

Question 2

What is the duration of the program?

Accepted Answer

This PG Program comes in two formats – full-time weekday and part-time weekend formats. The full-time weekday program is a 6-month program conducted on weekdays for fresh graduates or early career professionals. You will attend live sessions on Monday to Friday each week.The part-time weekend program is a 10-month program conducted on weekends for working professionals (0 – 5 years’ experience). You will attend live sessions on Saturday and Sunday each week.

Question 3

What study material will be provided to me for the program?

Accepted Answer

The core learning will happen via classroom or online live lectures. In addition, you will get recordings of the lectures to review at your own convenience. You will also have access to student notes, practice projects, additional study material and quizzes on our fully-integrated online learning portal.

Question 4

What is the eligibility criteria for placements?

Accepted Answer

In order to be eligible for a job placement, candidates must meet the following criteria:Grades should be at least 60%Pass all Imarticus mock interviews and the Capstone project evaluation  Have an average attendance of at least 80% for each module

Question 5

What are the fees for the program?

Accepted Answer

The PG Program in Data Analytics and Machine Learning costs INR 1,20,000 /-.

Question 6

What is a hackathon? How does it help?

Accepted Answer

A Hackathon is an online competition where candidates solve a complex business problem within a limited timeframe. Our hackathons give you the opportunity to complete with numerous students and stand out from the crowd. Hackathons are known to inculcate a critical thinking capability in Data Analytics aspirants and push them to perform better.

Question 7

How will program mentors help me during the program?

Accepted Answer

The program mentors will work closely with you throughout the course to facilitate a better learning experience by resolving your queries and connecting you with trainers and industry mentors. They will also discuss your grades, attendance, and other key elements associated with your progress.

Question 8

Will this Data Science course cover Python in detail?

Accepted Answer

Yes, this course covers Python – the most popular tool for Data Science and Machine Learning jobs. You will start with Python programming fundamentals and then learn all the Data Science concepts with Python. You will work on multiple Python Data Science projects to learn how data scientists solve real-business problems with Python. You will become a Python expert by the end of the course.

Question 9

How important is SQL for Data Science?

Accepted Answer

SQL (Structured Query Language) is used for accessing, updating, inserting, manipulating and modifying data. SQL has the capability to manage huge datasets. This is a must-know skill for every aspiring data scientist. SQL is a mandatory skill in every Data Science job today.

Question 10

How important is R for Data Science?

Accepted Answer

R language is used widely by data miners and statisticians for data analysis. It is preferred by many statisticians who want to design statistical models for solving complex problems. A good R programming tutorial, like this PG program, will take you through the basics of R programming and then Data Science with R. You will learn various Data Science algorithms like linear regression, logistic regression, decision tree and so on. Completing an R language tutorial will bolster your portfolio as many companies are hiring Data Science professionals with expertise in R.

Question 11

Is a career in Big Data a good option?

Accepted Answer

Big Data is one of the most promising careers as there are a number of opportunities in this field. Organisations today are eagerly looking for Data Analysts, Data Engineers and professionals with Big Data expertise.

Question 12

Is being a Data Analyst an IT job?

Accepted Answer

It is a technical role that requires an Undergraduate degree or Master's degree in analytics, computer modeling, science or math.

Question 13

What are the skills required for a career in Big Data?

Accepted Answer

To become a successful Data Analyst, you need to be skilled in Analytics, Data Visualization, programming, Data Mining, SQL, Java, and other Big Data tools.

Question 14

Is Python good for Big Data?

Accepted Answer

Python is considered as one of the best Data Science tools for a Big Data career. Python and Big Data are both perfectly matched when there is a need for integration between data analysis and web apps.

Question 15

Which course is best for learning about Big Data?

Accepted Answer

For learning about Big Data from scratch, or becoming a successful Big Data Analyst, you need to consider a Big Data Analytics certification course from Imarticus Learning, where the core learning will happen via classroom or online lectures. In addition, this program also comes with self-paced instructor videos that will supplement your learning. You will be given extended access to a fully-integrated online learning portal where all your learning material will be uploaded.

Postgraduate Program In Data Science And Analytics

Course Report

Course Features

Course Description

Highlights

Parameters

Module 1: Basics Programming

Module 2: Excel

Module 3: SQL

Module 4: Python Programming

Course FAQs