What is the time commitment expected for the program?

The total duration of the Advanced Certification Program in Data Science & Analytics is 10.5 months. Learners will be required to put in a total effort of 568 hours to complete the program. Learners will need 10 hours every week to complete the program. The best data science and analytics course offers live online classes for 228 hours. The course also includes 76 hours of self-paced learning,264 hours of assignments, projects, and capstone

What is the prerequisite to joining the program?

A Bachelor’s degree in a technology-related field with advanced coding knowledge. Must have two or more years of experience.

Why should I choose this Data Science online certificate course from Hero Vired?

The different steps to apply for the Advanced Certification Program in Data Science & Analytics program are as follows:Fill up the application: You must fill out the application form with all the required details. Review the details carefully before applying. A completed application will help us understand your learning plan.Wait for our offer letter: After filling out your application, you should wait for us to send you the offer letter. The offer letter will contain all the details about the machine learning course, including the total fee, payment schedule, and more.Block your seat: You must accept the offer letter by paying a nominal amount. After that, your seat in the program will be blocked

Advanced Certification Program in

Data Science & Analytics

Eligibility

Bachelor’s Degree

Application deadline

To be announced

About this program

The UChicago is ranked #11 in the U.S. News & World Report's Best Colleges ranking

Certification from Hero Vired in collaboration with the UChicago

97 Nobel laureates associated with UChicago

Our recipe for your success

Batch starts

Coming Soon

Duration

10.5 months

Learning Hours

579+ hrs

The UChicago is ranked #11 in the U.S. News & World Report's Best Colleges ranking

Certification from Hero Vired in collaboration with the UChicago

97 Nobel laureates associated with UChicago

Experience the difference with live learning

Real time engagement withlive classes

Learn at your pace, on your schedule

Enhanced outcomes through more than 80% live and experiential learning

Our holistic learning philosophy

Live learning

Interactive classes with industry experts for hands-on learning

Case studies

Real-world tasks to solidify knowledge and prep for industry challenges.

1:1 counselling

Personalized mentorship for career navigation and professional decisions.

Seasoned faculty

Guidance from leading industry experts to ensure top-tier learning.

Capstone projects

Final projects that blend learning with real impact in your field.

Doubt clearing sessions

Targeted sessions to ensure clarity and readiness for next steps.

Curriculum

Git Refresher

Version control using Git and GitHub
Creating and collaborating on branches

Data Warehousing and Engineering

Data warehousing concepts
Basic SQL querying
Relational databases and advanced SQL
Documenting and graphing databases
Creating BI reports with Tableau

Python Programming for Data Science

Python foundations
User-defined functions and defining classes
Manipulating data using Pandas and NumPy

Statistics for Data Science

Exploratory data analysis
Probability distribution
ANOVA
Chi-squared tests and hypothesis testing

Predictive Modeling for Data Scientist

Writing Optimized Python Code

Introduction to Cloud

Practical Deep Learning

Capstone project

Unlock valuable insights

5-star rating by 97% of students.

Discover the outcomes of the program.

Explore the custom-curated learning path.

Master industry-relevant tools

Launch projects, leap forward

E-commerce analysis

Analyze data from an e-commerce website, such as sales trends, customer behavior, and product popularity, to identify areas for improvement and optimization

Financial analysis

Analyze financial data, such as stock prices and investment portfolios, to identify trends and patterns that can inform investment decisions.

Sports analytics

Analyze sports data, such as game scores, player statistics, and team performance, to identify patterns and insights that can be used to improve performance.

In collaboration with

The University of Chicago

Innovative, career-driven learning experiences define University of Chicago Professional Education. Our instructors, seasoned professionals all, deliver unparalleled expertize drawn from years of industry experience. We give our students the tools to succeed in our fast-moving, interconnected world and achieve a competitive edge at any stage of their careers.

Get certified

Leveraging the University of Chicago's expertise in data science and analytics, this certificate sets you apart in the competitive job market. By completing this program, you gain recognition for your proficiency and dedication to excellence in your field.

* Certificates are indicative and subject to change

Our faculty, your mentors

Manoj Agarwal

Faculty, Hero Vired | 17+ years of experience

An expert in designing solutions using machine learning techniques. Specializes in multi-objective optimization techniques and evolutionary computations.

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Joshua Goldberg

Data Scientist, Amazon | 12+ years of experience

Data science proffesional with skills in machine learning and statistical analysis. Expert in developing recommendation systems and presenting results to global audiences.

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