Business Analytics Certificate Program

India's First Mentorship Driven Online Program

Business Analytics Certificate Program

  • Online
  • Personalized Mentorship
  • 6 months
Apply Now
Application deadline 13th Dec 2018

Why Join BACP?

Great Lakes

certificate

Rated 4+/5

by 95% participants

3 Million+

learning hours delivered

Ranked #1 in analytics education

Great Lakes' program has been ranked as the #1 in India for 4 years in a row.

2500+ career transitions

More than 2500 great learning alumni have successfully transitioned to business and functional roles in analytics.

Weekend mentorship + online

BACP is India’s first mentorship driven online program. Participants attend interactive sessions with program mentors in small cohorts.

Career support

Get access to Great Learning Analytics Job Board and insights on resume building & cracking interviews.

BACP Learning Experience

Personalized learning

Each module has recorded content that is followed by a session with one of the 100+ distinguished industry mentors, in a small group of participants. These mentors are thought leaders in different domains with several years of industry experience that enables them to impart practical knowledge and real-world insights.

Industry exposure sessions

Each week, participants get access to industry videos and webinars conducted by industry experts, in addition to the usual mentoring sessions. These resources provide insights into current industry trends & real-life business problems.

Experiential learning projects

An experiential learning project at the end of every module helps candidates internalize their understanding of the content consumed. Our coursework and practical assignments are designed to enable candidates to apply what they have learned during self-study and industry sessions.

Career enhancement sessions

The program includes career development sessions which help candidates identify their strengths and empower them to clear analytics interviews. Interacting with industry practitioners provides exposure and experience that helps them in transitioning to business analytics roles.

Program Structure

A 6-month structured online program with hands-on projects and weekend mentorship sessions

Online content

Best-in-class recorded content from expert faculty and industry mentors

Hands-on projects

Practical assignments, case studies, and instructor-led practice sessions on data sets

Weekend mentoring sessions

48 hours of personalised mentorship from analytics professionals working in leading companies

How Does Mentorship Work?

Participants are grouped in micro-classes & assigned an industry mentor

A small group of participants regularly connects during the weekends to engage in an interactive session with one of our 100+ distinguished industry mentors assigned to the group.

Participants attend live instructor-led online sessions over weekends

Participants are led by an instructor as they work on data sets to learn various analytics tools. All participant doubts are cleared as they work closely with their mentors on projects and assignments.

Mentors inspire and guide participants at each step of their learning

Our mentors go beyond concept walkthroughs, doubt clearing and projects, to help participants achieve their learning goals and also support them in their career transition in Analytics.

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Business Analytics.

Curriculum

Introduction to analytics
  • Welcome to the Program
  • Orientation ( Structure of the Program)
  • Analytics Landscape
  • Industry Session
  • Assessment 1
  • Introduction to Linear Programming
  • Sensitivity Analysis
  • Mentoring Session 1
  • Assessment 2
  • Introduction to R
  • Getting and Cleaning Data using R
  • Mentoring Session 2
  • Self Study
  • Project Brief (Twitter Data)
  • Project Submission
  • Project Debrief
  • Mentoring Session 3
Fundamentals of business statistics
  • Overview of the Course and Problem 2 - Brief (Continue with Twitter Data)
  • Presentation of Data
  • Measures of Central Tendency and Variation
  • Correlation
  • Industry Session
  • Self Study
  • Basic Probability Concepts
  • Probability Distribution
  • Mentoring Session 1
  • Self Study
  • Estimation
  • Hypothesis Testing
  • Mentoring Session 2
  • Self Study
  • Project Brief - Healthcare Problem
  • Project Submission
  • Project Debrief
  • Mentoring Session 3
Advanced statistics
  • Overview of the Course and Problem 3 - Brief (Continue Healthcare Data)
  • Introduction to Regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Industry Session
  • Self Study
  • Purpose of ANOVA
  • Assumptions of ANOVA
  • One way ANOVA
  • Two way ANOVA
  • Mentoring Session 1
  • Self Study
  • Factor Analysis
  • Principal Component Method
  • Dimension Reduction Problems
  • How to Select an Analysis Method?
  • Mentoring Session 2
  • Self Study
  • Project Brief - Marketing Problem
  • Project Submission
  • Project Debrief
  • Mentoring Session 3
Data mining
  • Overview of the Course and Problem 4 - Brief (Continue with Marketing Problem )
  • Unsupervised Learning: Clustering
  • Unsupervised Association Rules
  • Industry Session
  • Self Study
  • Decision Tree
  • CART
  • CHAID
  • Random Forest
  • Mentoring Session 1
  • Self Study
  • Linear Discriminant Analysis
  • Quadratic Discriminant Analysis
  • SVM
  • K nodes Classification
  • Mentoring Session 2
  • Self Study
  • Project Brief - Finance Problem
  • Project Submission
  • Project Debrief
  • Mentoring Session 3
Predictive modelling
  • Overview of the Course and Problem Brief 5 (Finance Problem)
  • Introduction to NN
  • Basic Structure
  • Application of NN
  • Industry Session
  • Self Study
  • Predictive Continuous Response
  • Non-Linear Regression 1
  • Non-Linear Regression 2
  • Non-Linear Regression 3
  • Mentoring Session 1
  • Self Study
  • Machine Learning Techniques
  • GBM
  • Model Validation
  • Model Comparison and Further Improvement
  • Mentoring Session 2
  • Self Study
  • Project Brief - Supply Chain Problem
  • Project Submission
  • Project Debrief
  • Mentoring Session 3
Python for Data Science
  • Data Science Workflow
  • Tools for Data Science
  • Why Python
  • Installing Python
  • Scalar Operations on arrays
  • Indexing Arrays and Broadcasting
  • Slicing and Array
  • Transposing an array
  • Universal Array function and array processing
  • Array: Input/Output
  • Documentation of Numpy
  • Installing Pandas
  • Series and Dictionaries
  • Data Frames
  • Adding a series to data frames
  • Indexing and Reindexing objects
  • Dropping and Selecting entries
  • Selections in Data Frames
  • Arithmetic operations in Data Frames
  • Using descriptive statistics on Data Frames
  • How to Handle Missing data
  • Multiple of Hierarchies in Indexing

Hands-on Projects

Work on real-world analytics projects and showcase them to potential employers through the ePortfolio

Best Analytics Faculty

Learn from leading academicians and experienced industry practitioners in the field of data analytics

Industry Experts as Mentors

Get invaluable inputs from the who's who of the industry

Our Mentors Work for Companies Like...

Alumni Success Stories

66% career transitions within 6 months of graduation

Admission Details

Eligibility

  • done Bachelor's degree with a minimum of 50% aggregate marks or equivalent. Final year students can also apply to the program.
  • done Preference will be given to candidates with Engineering, Mathematics, Statistics, and Economics background.

Selection Process

Step 1

Fill an application form

Interested candidates need to apply by filling up an

Interested candidates need to apply by filling up an Online Application Form.

Step 2

Application review

The Admissions committee and faculty panel will review all the applications and shortlist candidates based on their profiles.

Step 3

Admission offer release

The admission committee will notify the selected candidates.

Fee Details

80,000 + GST

Fee Includes

Tution Fee

Learning Material

Mentorship Sessions

Payment Options

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

Pay in 12 EMIs at 0% interest rate with ZestMoney.

Upcoming Application Deadline

13th Dec 2018

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Batch starts on 15th Dec 2018

Frequently Asked Questions

The BACP program is unique in the following aspects
  • Personalised mentoring and industry interaction sessions every month
  • Learning happens in micro batches of 8-10 participants
  • Covers industry-relevant topics in statistics and analytics in depth
  • Provides hands-on exposure to tools such as R and Advanced Excel. Datasets are also provided
  • Experiential learning projects at the end of every module enable the candidate to apply their learning to real-world business problems
  • Interactive live sessions with industry experts and mentors provide current industry knowledge and insights
  • The online delivery model makes it convenient for working professionals to pace their learning and get doubts cleared without having to quit their jobs or travel anywhere
Participants are guided through a unique mentored learning process which happens in a micro class. These micro classes take place in a group of 8-10 candidates which is guided by a senior industry mentor. These classes are live classes where you will have a video interaction with your mentor and other 8 or 10 participants on 3 weekends every month.
BACP is mostly pursued by working professionals planning to make a career transition into analytics roles. We also have students in their final year of graduation benefiting from the program. Graduation in a quantitative discipline like engineering, mathematics, sciences, statistics, economics, etc, would help participants get the most out of BACP program.
The program includes career development sessions which help candidates identify their strengths and empower them to clear analytics interviews. Interacting with industry practitioners provides exposure and experience that helps them in transitioning to business analytics roles.We also provide our candidates and alumni with access to employment opportunities that analytics companies share with us. There are many examples of participants who have completed the program taking advantage of these opportunities to move to new roles or companies in analytics.
Yes. The program is covered using recorded content delivered by Great Lakes and industry faculty and live instructor led webinars which happens in a batch of 8 to 10 students. All assessments will also be conducted online.
The certificates for Business Analytics Certificate Program would be awarded by Great Lakes Institute of Management.
BACP is taught by award-winning Great Lakes faculty and experienced analytics professionals. Access the faculty section for details.
BACP is an analytics competency development program and does not fall into the ambit of UGC or AICTE and as such their accreditation is not relevant to the program. However, Great Lakes is accredited by AICTE and is one of the few institutions in India to also receive AMBA and SAQS accreditations.
BACP fee = "₹ 80,000 + GST". You can also choose to pay this amount in 12 instalments at 0% EMI.
We have tie-up with ZestMoney to provide you with an option to pay 12 instalments at 0% EMI.
All the requisite learning material is provided online to candidates through the Learning Management System.
We believe that learning should be continuous and hence, all the learning material in terms of lectures and reading content would be available to the candidates on the LMS even after the completion of the course.
BACP is a holistic and rigorous program and follows a continuous evaluation scheme. Quizzes, assignments, and experiential learning projects help us evaluate a candidate's understanding of the concepts learned.
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at bacp@greatlearning.in
We provide our candidates and alumni with access to employment opportunities that analytics companies share with us. There are many examples of participants who have completed the program taking advantage of these opportunities to move to new roles or companies in analytics. Please be informed that BACP does not offer any formal placement process as a part of the program.
You can apply through the online application form. If you need assistance from our team, write to us at bacp@greatlearning.in or call us at +91 95991 99772 and we shall guide you through the process.
Participants do several experiential projects on Python, Predictive modeling, Advanced statistics, Estimation & Hypothesis testing, and Data mining. For details of projects please refer the Hands-on projects section.
You will need to fill up a simple online application form. The admissions committee will review all the applications and shortlist candidates based on their profiles. Please refer to the admissions process section for more details.
Our industry mentors work with some of the leading organizations in the world like Microsoft, HSBC, Deloitte, Thomson Reuters, Cognizant, Unisys, Viacom, Facts n Data, Axtria, etc.
R, Python
Fee once received will not be refunded
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