Data analyst certification course in delhi
classes are available in hindi
In association with:
Certificate from prestigious IIT Madras Pravartak
Are you looking for a hight-paying career? Your search ends here!
India is in dire need of Data Analysts. EcxelR's Data Analyst Course
trains you in the relevant tools and skills & prepares yo for a secure
job with our network of 5000+ hiring partners. Now, with the added
advantages of IIT Madras Pravartak Certificaton.
15+ Hours of Immersive Traning
at IIT Madras for 2 days.
Intreactive sessions by professors
of IIT.
An industry-leading IITM
Ptravartak Certificate.
Our Alumni Works At
program highlights
Top_ Notch
Faculty
Trainers at ExcelR's are passionate about traning, and carry 12+ years of industry experience
Exhaustive Course
Curriculum
Our industry-relevant course curriculum is tailored to provide practical exposure with the theory.
Real-life Projects and
Bootcamps
Learners will work on real-life data analytics scenarios from various domains to get applicaton knowledge.
Job
Readiness
Intensive inteview preparation from Day 1 to prepare candidates for interview with our network of 5000+ hiring partners.
Who Should Do The Data Analyst Course?
Skills Covered
Tools and Technologies
IITM Pravartak Sample Certificate
3 in 1 certificate
Data Analyst Project Life Cycle
Phase-1:- Data Collection
After carefully evaluating the business case in a particular domain, data will be collected surrounding it.
Phase-2:- Data Preparation
Using SQL, a database will be created to store the data collected in the previous step.
Phase-3:- Insights Generation and Dashboard Building
Establish a connection between the database and Tableau/Python/R tools to extract the required data. Generate user-friendly reports according to the business needs and develop the Dashboard using Tableau/Power BI.
Projects
Analysis of Patient Data
(domain: Healthcare)
This project requires learners to analyze the patient data of those suffering from different diseases across various summaries. The facility, chain organizations, and dialysis stations analysis is required to be carried out where the patients are undergoing dialysis. The project also focuses on the payment mode aspect wherein if any discounts or reduction in payments have happened then those are analyzed.
Loan of Customers
(Domain: Banking and Finance)
In this project, learners analyze the loan given by a financial institution to different customers of varied grades and sub-grade levels. The analysis needs to consider the loan disbursement reasons, funded amount, and revolving balance values for every customer in different states and geolocations. The project requires the customers payment modes and the last payment values.
Employee Retention
(Domain: HR analytics)
This HR-related project considers the attrition rate of employees working at an organization at different levels. The attrition rate analysis is done with respect to different factors such as monthly income, last promotion year, job role, and work-life balance of every employee of different departments.
Industrial Combustion Energy Use (Domain: Energy)
The project requires learners to analyze the usage of different fuels in different facilities in different applications by finding the MMBTu and GWHt values. The fuels used for different geo-locations and for different primary titles are also taken into consideration while doing analysis.
Flights delay analysis
(Domain: aviation)
The primary aim of the project is to determine the different reasons behind the delay of flights of various airlines. The analysis needs to consider the number of flights in operation, the number of flights cancelled, and the statistical summary of week-wise, state-wise, and city-wise flight distributions.
Olist Store Analysis
(Domain: eCommerce)
The market for a certain product is analyzed by considering a particular retail outlet which sells these products. The project involves statistical analysis on the payment distribution from different customers with the different modes of transactions across different product categories. The feedback from customers with respect to shipping days and other factors also needs to be considered while carrying out the analysis.
Learning Path
Why ExcelR?
Industry-Based Course Curriculum
Value Adds: Python Programming, Fundamentals of R, Business Statistics, SAS
Work Hands-on With 50+ Labs, 30+ Assignments, and 1500+ Interview Preparation Questions
Dedicated Placement Cell
Support through WhatsApp, Calls, & Emails
