Date: 17th Dec
Last date to register: 16th Dec
Duration: One month
Format: Online LIVE classes + Self-paced
Number of Modules: 5
Live Sessions: 2
Recorded Sessions: 3
Fee: 5000/- + GST
"Data Analytics Job Experience Program" is a structured initiative designed to provide individuals with hands-on experience and practical exposure to the field of data analytics.
This program aims to bridge the gap between student's knowledge and real-world application in the rapidly evolving field of data analytics.
You will be engaged in immersive learning experiences where you will work on real-world projects, analyze actual datasets, and apply various data analytics techniques and tools.
You will gain valuable insights into the entire data analytics workflow, from problem definition to interpretation of results.
The hands-on nature of this program will enhances your problem-solving skills, critical thinking, and proficiency with analytics tools commonly used in industry settings.
- How an IT Job Works
- How a project is implemented
- How work assignment is given
- How to attend a video conference
- How to talk with seniors and colleagues
Company Case Study: Experience working on a Virtual Company
Company Establishment: 2012
Number Of Products: 50
Type Of Products: Candies, Syrups & Pastries
Yearly Revenue: 800+ Crores
Expansion: In 8 Cities
About the company: Spring is a Premium Candies and Confectionaries company rapidly emerged as a leading player in the confectionery industry. The company has crafted a niche for itself in the market. With a diverse product range Spring caters to the sweet tooth of its discerning customers with a commitment to quality and innovation.
*Please note that Spring is a fictitious company created for the purpose of this program,
You will be working on a project and use Data Analytics to save Rs. 30 Crores product lost due to passing Expiry date.
Internship Experience delivered as a curriculum
1- Join a simulated company and shadow a Data Analyst throughout a project.
2- Understand Data Analyst's mindset, work, and psychology via meetings.
3- Training sessions on Excel, Statistical Techniques, BI, and Dashboard building.
4- Observe 80% of the expert's tasks. And get hands-on experience in 20% of the tasks.
5- Meet new people and Interact with peers & colleagues on project discussions.
1- Exploratory Data Analysis
2- Dashboard Building
3- Sales Forecasting
Who should take this course?
Students from all backgrounds can take this course. There is no educational requirements for this. Either you are from
- Or any other background
You can take this course and experience what it takes to be a good data analyst.
- Designed & based on the guidelines and objectives of AICTE Internship Policy
- Job Shadow and observe Corporate meetings
- Learn Multi-Functional Corporate Project Execution
- Training from the Experts
ADVANCED PROGRAM MODULES
- Expert Interaction module: LIVE Expert workshops and Q&A sessions about Data and AI Industry
- Professional communication skills module: Introducing project buddy sessions
Background of Industry Experts
Project Buddy Sessions
At CrionVersity, we understand that learning can be challenging, especially when you're trying to navigate a new field like data analytics.
That's why we're excited to introduce our "Program Buddy" concept, which provides students with an opportunity to connect with peers in the program and discuss what they've learned in multiple 1-on-1 discussion moderated by Experts from Crion Versity.
1- After each program session, students are paired with a "Program Buddy" - another student in the program.
2- Program buddies are assigned randomly, and the pairings change for each session to give students the chance to connect with different peers.
3- Program buddies are expected to connect for 30 minutes after each team meeting session to discuss what they've learned and share their insights.
4- The program coordinator will be present during these discussions to answer any questions and provide guidance as needed.
Data Analytics Job Experience Program will serve as a stepping stone for you to enter the data analytics field by providing you with practical skills, industry-relevant knowledge, and a firsthand understanding of the challenges and opportunities within the realm of data analytics.
For any querries or support email us at email@example.com or call/Whatsapp at 91 78450 46889.