EXL- Certified Data Analytics Associate
Blended
530 Hours
Learn at the Academy
Course Highlights
About the Program
Data analytics is important as it helps businesses optimize their performances. A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new and better products and services. Become an expert in Data Analytics with this course which is funded up to 90% by EXL through its CSR initiative.
Our entire spectrum of Data Analytics course is handled by experienced faculties who have years of industry experience and this is an added advantage for students. Our course offers a good blend of domain and soft skills with 3 hours of learn with master trainer (Online Learning) and 4 hours of learn at academy (Classroom learning).
In this program, all your coding assessments will be evaluated on the online portal and live projects will be uploaded on GitHub. Complete your course with hands-on practice and get yourself a desired job at the end of the course. Our dedicated placement manager supports you till you get a job and we provide placement assistance for up to 3 months after course completion.
**IMPORTANT: Due to COVID-19, Learn at Academy (Classroom Learning) will be held online, in guidance of a master trainer for 4hours. Classes will resume at the academy once the lockdown gets lifted and it is safe to do so.
This course will,
- Enable you to use "R" programming to analyze any dataset
- Help you understand about SAS and advanced excel for data analytics
- Enable you to visualize any complex data with the help of Tableau
We hope that you will gain the required knowledge from this program and demonstrate the skills learnt.
All the best!
Programming Languages and Tools Covered
EXL- Certified Data Analytics Associate course Minimum Eligibility
This module will help you to understand the objective of this training which is an initiative of EXL.
Slideshow: EXL Data Analytics Associate
This module will help you to understand the process of Refer, Earn with ELC. Now you can earn while you learn. Experience the power of Loyalty with EduBridge's Elite Learners Club and don't miss the opportunity to the join the exclusive VIP Club today and start earning.
Slideshow: Refer, Earn with ELC Session 1 (LA)
Here you will get to know steps to follow to attempt the test on DoSelect Platform. Also understand what are the do's and don'ts for appearing the tests on DoSelect Platform.
Slideshow: Assessment Guide (LA)
This module will aim at introducing you to the concept of computers. This will also cover computer security which is used for saving data and information for different attacks.
Slideshow: Introduction to Digital Skills & Computer Fundamentals
This module enhances your understanding of the purpose of professional interviews.
Slideshow: Interview skills for success with Mock Interviews
In this module, you will develop your understanding about the demands of the workplace and the rights and responsibilities of both the employee and employer.
Slideshow: Workplace Readiness- Introduction to the understanding of job
Good business etiquette is a valuable skill-set that will make you stand out from others, enhance your chances at success, and help you land that dream job. This module will aim at making you understand the importance of etiquette for better growth prospects.
Slideshow: Personality and Professionalism (AL)
After completion of this module learners will be able to describe and discuss the key terminology, concepts tools, and techniques used in business statistical analysis They can also compare the descriptive and inferential statistics. They will understand an importance of probability theory in the design and development of machine learning algorithms.
Slideshow: Fundamentals of statistics and probability
After completion of this module learners will understand data analysis as a subfield of data analytics.
Slideshow: Introduction to Data Analytics
After completion of this module, learners will be able to use advanced python libraries NumPy and Pandas to perform statistical analysis of data. They will also learn to use these libraries to perform data cleaning, wrangling, and visualisation operation.
Slideshow: Advanced python libraries for Anlytics and Machine learning
After completion of this module learners will be able to write, evaluate and execute simple R programs for statistical analysis of data. Learner will also learn to perform mathematical operations with the help of R and understand the strength of R language in performing mathematical calculations
Slideshow: Introduction to R for Analytics
After completion of this module learners will be able to differentiate between supervised and unsupervised machine learning. They will also learn to select appropriate machine learning algorithm as per the problem statement and data set used
Slideshow: Introduction to machine learning and its algorithms
After completion of this module, learners will be able to implement machine learning algorithms They can also use data sets for implementation of machine learning algorithms.
Slideshow: Handson Machine learning
After completion of this module learners will be able to use Excel for data analysis. Learners will also get an overview of EXCEL analytics and will learn to develop visualisation with EXCEL
Slideshow: Excel Analytics
After completion of this module learners will be able to create and edit macros by writing VBA code in the VBEThey will also learn to Build user-defined functions in Excel.
Slideshow: Use of VBA for Excel
After completion of this module learners will be able to use SAS studio for data analytics
Slideshow: Introduction to SAS Analytics
This module will introduce you to the learning objective of different modules in your course.
Slideshow: Course Introduction - Big Data-Hadoop
This module aims to introduce the need for NoSQL databases and also introduces MongoDB, which is an example of NoSQL database to the participants.
Slideshow: Introduction to NoSQL databases -MongoDB
After completion of this module, learners will be able to perform CRUD operations with MongoDB
Slideshow: CRUD with MongoDB
This module will help you to understand the process of Refer, Earn with ELC. Now you can earn while you learn. Experience the power of Loyalty with EduBridge's Elite Learners Club and don't miss the opportunity to the join the exclusive VIP Club today and start earning.
Slideshow: Refer, Earn with ELC Session 2 (LA)
After completion of this module learners will be able to use Tableau as a data visualisation platform. They will be able to design, develop and demonstrate created visualisation.
Slideshow: Data visualisation with tableau excel and python
Industry Recognized Certificate
EduBridge’s programs are designed to offer learners a pathway to placements and its certificate is an official credential for the learners.
On satisfying the attendance criteria requisite and by successfully clearing the assessments with a 50% score and above, learners will be awarded a Certificate of Achievement.
Learners who are unable to clear all the assessments and have scored less than 50% but fulfilled the attendance criteria will be awarded a Certificate of Completion.
Enrollment Benefits
- You will learn analytics tools and techniques, how to work with MongoDB databases and Advanced Excel, the language of R, Python, and SAS
- Engage in collaborative projects alongwith 350+ hours of Expert Training and 30+ hours of self study program
- It will also guide you to visualize Business Data with Tableau and create powerful business intelligence reports
- Get hands-on on all the concepts with the help of projects and presentations. All the coding assessments will be conducted on the online portal and live projects will be uploaded on GitHub
- 24 x 7 Expert Support: We have a lifetime 24x7 online support team to resolve all your technical queries, through a ticket based tracking system
- This Data Analyst program includes 5+ real-life, industry-based projects
- Focus to master concepts of business analytics and intelligence, such as decision trees, data visualization, data blending and more
- Learn how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting
- Engage in collaborative projects with student-mentor interaction
- Personalized subjective feedback on your submissions to facilitate improvement and benefit by learning in-person with expert mentors
- You will have the data analysis skills necessary to win your dream job
- Job Titles include: Data Analyst, Data Scientist, Data Engineer, Product Analyst,
- Machine Learning Engineer, Decision Scientist, Analytics Manager/Lead, Business Analyst/Senior Business Analyst
Frequently Asked Questions
For any Course, you enroll at EduBridge, you need to have a proper Internet connection and a Mobile, PC or a Laptop. Do read Course specific requirements while you enroll and also our Policies and Terms & Conditions.
The deadline is pre-set for 3 days from the time of notification. You need to complete your Assessments within 3 days failing which it will become inactive.
Assessments are visible to you in the 'My Courses' section. Your Trainer will activate this post completion of the sessions. Once the Assessments are activated, you will get a notification on your 'My Calendar' option about the same.
Select the course >> Click on Enroll Now >> Click on Proceed to pay >> Choose the Mode of payment
If you made a payment, but cant look it up, first check your "My Purchases" page to see if it went through. If a payment you made doesn't show up in your Purchases, check your bank statement to see if the payment was processed by your bank. If this also doesn't work, you can click on "Help" and raise a Ticket. Our Support Team will resolve the issue.
You can raise a Ticket from the Login Page by clicking on the “Help” option.
For any Course material, please - Click on “Classroom” on the left side panel - Click on “Resources” - Click on download to read the material while you are offline"
