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Advanced Certification in Business Analytics

This Advanced Certification in Business Analytics online course by the Fore School of Management and the University of California, Riverside will help you to gain strong skills in SQL, Python Programming, Microsoft Excel, Machine Learning, PowerBI, etc. This business analytics program follows a hands-on approach through real-life projects for learners to earn practical experience under the 24/7 guidance of our SMEs. Enroll in this course and become a certified Business Analyst expert.

Only Few Seats Left No Prior Programming Knowledge Required

Upskill for Your Dream Job

Learning Format

Online Bootcamp

Live Classes

8 Months



3 Guaranteed Interviews

by Intellipaat


Hiring Partners

About Program

This highly comprehensive Advanced Certification in Business Analytics Course will make you a master of all the basic and advanced level skills that are crucial in the field of Business Analytics. You will learn about KNIME, Domain Knowledge, Azure SQL database, Probability, OOPs, and many more crucial concepts in this program.

Key Features

400 Hrs of Applied Learning
218 Hrs of Self-Paced Learning
50+ Industry Projects & Case Studies
One-on-One with Industry Mentors
24*7 Support
Soft Skills Essential Training
50+ Live sessions for a period of 8 months
Learn from UCR & FSM Faculty
Learn & Mentored by top Industry Practitioners
3 Guaranteed Interviews by Intellipaat
Designed for Working Professionals & Fresher's
No Cost EMI Option
Dedicated Learning Management Team
Career Services by Intellipaat

Free Career Counselling

We are happy to help you 24/7

About Fore School of Management and University of California Riverside

The FORE School of Management (FSM) and University of California Riverside (UCR) are one of the best educational institutions leading the Path of providing quality Academic Training to individuals. FSM and UCR were founded in 1981 and 1907 respectively and both these institutions have been working for decades with industry and academia forRead More..

Key Achievements of Fore School of Management and University of California Riverside

  • FSM is ranked 19th based on Graduation Outcome
  • UCR is ranked among the top 15 public universities in USA
  • FSM is accredited by the National Board of Accreditation
  • UCR has been ranked number one university in US fours years in a row for social mobility
  • UCR has had 2 nobel prize winners

Upon the completion of this program, you will receive:

  • Advanced Certification in Business Analytics from FORE School of Management and University of California Riverside

Career Transition

55% Average Salary Hike

$1,20,000 Highest Salary

12000+ Career Transitions

400+ Hiring Partners

Who can apply for the course

  • IT Professionals
  • Sales Professionals
  • Supply Chain Network Managers
  • Marketing Managers
  • Business Analyst Aspirants
  • Freshers and Undergraduates can apply for the course as well
Who can aaply

What roles does Advanced Certification in Business Analytics Course Provide?

Business Analyst

Work in collaboration with the UI/UX designers to create necessary documents, such as wireframes, UI, and design flow as needed.

Marketing and Sales Analyst

Improve user experience with the help of personalization and help clients leverage analytical and digital technologies.

Operations Analyst

Offer support, reports, and validate budgeting and forecasting processes.

Data Analyst

Conduct analysis on a portfolio to find improvements and patterns in the regions of overall risk mitigation and loss frequency.

BI Developer

Create the required infrastructure to get optimal data extraction, transformation, and loading from a range of data sources.

Business Analyst Manager

Business analyst manager specializes in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity.

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Skills to Master



Python Programming

MS Excel


Machine Learning

Data Mining



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Tools to Master

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Live Course Self Paced
  • Python
    • Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.
    • Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
    • Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
    • Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding.
  • Linux
    • Introduction to Linux – Establishing the fundamental knowledge of how linux works and how you can begin with Linux OS.
    • Linux Basics – File Handling, data extraction, etc.
    • Hands-on Sessions And Assignments for Practice – Strategically curated problem statements for you to start with Linux.
  • Projects & Case Studies
    • Polygon area calculator, Pattern Programs, Linked List implementation, etc.
  • SQL Basics –
    • Fundamentals of Structured Query Language
    • SQL Tables, Joins, Variables
  • Advanced SQL –
    • SQL Functions, Subqueries, Rules, Views
    • Nested Queries, string functions, pattern matching
    • Mathematical functions, Date-time functions, etc.
  • Deep Dive into User Defined Functions
    • Types of UDFs, Inline table value, multi-statement table.
    • Stored procedures, rank function, SQL ROLLUP, etc.
  • SQL Optimization and Performance
    • Record grouping, searching, sorting, etc.
    • Clustered indexes, common table expressions.
  • Projects And Case Studies:
    • Coffee Chain Data Analysis, Querying large relational databases, adventure works case study, etc.
  • Extract Transform Load
    • Web Scraping, Interacting with APIs
  • Data Handling with NumPy
    • NumPy Arrays, CRUD Operations,etc.
    • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, Matrices.
  • Data Manipulation Using Pandas
    • Loading the data, dataframes, series, CRUD operations, splitting the data, etc.
  • Data Preprocessing
    • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
    • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross validation techniques, train-test split, etc.
  • Data Visualization
    • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc, with Python matplotlib.
    • Regression plots, categorical plots, area plots, etc, with Python seaborn.
  • Projects And Case Studies:
    • HR analytics, Bank Marketing Case Study, Insurance Data Case Study, Advertising Case Study ,Purchase Case Study, etc.
  • Descriptive Statistics
    • Measure of central tendency, measure of spread, five points summary, etc.
  • Probability
    • Probability Distributions, bayes theorem, central limit theorem.
  • Inferential Statistics
    • Correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, chi-square test, etc.
  • Introduction to Machine learning
    • Supervised, Unsupervised learning.
    • Introduction to scikit-learn, Keras, etc.
  • Clustering Analysis
    • K-Means, Hierarchical, feature engineering & Feature Selection, Evaluation Metrics, Hyperparameter tuning
  • Classification Analysis
    • Decision Tree, Logistic Regression, Random Forest, feature engineering & Feature Selection, Evaluation Metrics, Hyperparameter tuning
  • Regression Analysis
    • Linear Regression, Decision Tree, Random Forest, feature engineering & Feature Selection, Evaluation Metrics, Hyperparameter tuning
  • Dimensionality Reduction
    • LDA, PCA, Factor Analysis
  • Gradient Boosting
    • LightGBM, XGBoost, CatBoost
  • Projects And Case Studies:
    • Census Data Case Study, Product Classification, Click Through Prediction, Education Analytics, Airbnb recruiting case study, statoil/c-core iceberg classification, special particle using higgs boson data,etc.
  • LIME
    • Interpreting Machine Learning Models Using Partial Dependence Plots & LIME
  • Vowpal Wabbit
    • Out-of-core Machine Learning with Gigabytes of Data
  • Projects And Case Studies
    • Avazu click through prediction case study
  • Artificial Intelligence Basics
    • Introduction to keras API and tensorflow
  • Neural Networks
    • Neural networks
    • Multi-layered Neural Networks
    • Artificial Neural Networks
  • Deep Learning
    • Deep neural networks
    • Convolutional Neural Networks
    • Recurrent Neural Networks
    • GPU in deep learning
    • Autoencoders, restricted boltzmann machine
    • Transfer Learning
  • Natural Language Processing
    • Text Mining, Cleaning, and Pre-processing
    • Text classification, NLTK, sentiment analysis, etc
    • Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling
    • AI Chatbots and Recommendations Engine
  • Projects And Case Studies
    • Fraud Detection, Image classification, Image augmentation, ResNet50, InceptionV3, etc.
  • The project work focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The project will help you master the following verticals:
    • Extracting, loading and transforming data into usable format to gather insights.
    • Data manipulation and handling to pre-process the data.
    • Feature engineering and scaling the data for various problem statements.
    • Model selection and model building on regression problems using supervised/unsupervised machine learning algorithms.
    • Assessment and monitoring of the model created using the machine learning models.
  • Recommendation Engine – The case study will guide you through various processes and techniques in machine learning to build a recommendation engine that can be used for movie recommendations, restaurant recommendations, book recommendations, etc.
  • Rating Predictions – This text classification and sentiment analysis case study will guide you towards working with text data and building efficient machine learning models that can predict ratings, sentiments, etc.
  • Census – Using predictive modeling techniques on the census data, you will be able to create actionable insights for a given population and create machine learning models that will predict or classify various features like total population, user income, etc.
  • Housing – This real estate case study will guide you towards real world problems, where a culmination of multiple features will guide you towards creating a predictive model to predict housing prices.
  • Object Detection –  A much more advanced yet simple case study that will guide you towards making a machine learning model that can detect objects in real time.
  • Stock Market Analysis – Using historical stock market data, you will learn about how feature engineering and feature selection can provide you some really helpful and actionable insights for specific stocks.
  • Banking Problem – A classification problem that predicts consumer behavior based on various features using machine learning models.
  • AI Chatbot – Using the NLTK python library, you will be able to apply machine learning algorithms and create an AI chatbot.
  • Power BI Basics
    • Introduction to PowerBI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI.
    • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
    • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI.
  • DAX
    • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features
  • Data Visualization with Analytics 
    • Slicers, filters, Drill Down Reports
    • Power BI Query, Q & A and Data Insights
    • Power BI Settings, Administration and Direct Connectivity
    • Embedded Power BI API and Power BI Mobile
    • Power BI Advance and Power BI Premium
  • Projects And Case Studies
    • Student survey case study, University admission Analysis, etc.
  • Excel Fundamentals
    • Reading the Data, Referencing in formulas , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
    • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
    • VBA Macros, Ranges and Worksheet in VBA
    • IF conditions, loops, Debugging, etc.
  • Excel For Data Analytics
    • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.
  • Data Visualization with Excel
    • Charts, Pie charts, Scatter and bubble charts
    • Bar charts, Column charts, Line charts, Maps
    • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles
  • Excel Power Tools
    • Power Pivot, Power Query and Power View
  • Classification Problems using Excel
    • Binary Classification Problems, Confusion Matrix, AUC and ROC curve
    • Multiple Classification Problems
  • Information Measure in Excel
    • Probability, Entropy, Dependence
    • Mutual Information
  • Regression Problems Using Excel
    • Standardization, Normalization, Probability Distributions
    • Inferential Statistics, Hypothesis Testing, ANOVA, Covariance, Correlation
    • Linear Regression, Logistic Regression, Error in regression, Information Gain using Regression
  • Projects And Case Studies
    • Customer segmentation, Linear/Logistic Regression analysis, Hypothesis Testing Analysis, Monthly Bonus Case Study.
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Program Highlights

50+ Live Session across 8 months
218 Hrs of Self-Paced Learning
50+ Industry Projects & Case Studies
24*7 Support

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

Project Work

Projects will be part of your Advanced Certification in Business Analytics course to consolidate your learning. It will ensure that you have real-world experience in Business Analytics.

Practice 20+ Essential Tools

Designed by Industry Experts

Get Real-world Experience

Career Services By Intellipaat

Career Services

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

3 Guaranteed Interviews

After 80% of the course completion

Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Our Alumni Works At

Master Client Desktop

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!


Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Submit Application

Submit Application

Tell us a bit about yourself and why you want to join this program

Application Review

Application Review

An admission panel will shortlist candidates based on their application


Application Review

Selected candidates will be notified within 3 days

Program Fee

Total Admission Fee

$ 1,579

Upcoming Application Deadline 24th March 2023

Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.

Program Cohorts

Next Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 26th Nov 2022 08:00 PM IST Weekend (Sat-Sun)
Regular Classes 26th Nov 2022 08:00 PM IST Weekend (Sat-Sun)

Frequently Asked Questions

Why should I sign up for this Advanced Business Analytics certification course?

This Advanced Certification in Business Analytics is conducted by leading experts who will assist you in kick-starting your career in these domains through the vast industry-relevant experience that they carry.

Also, the course curriculum along with videos, live sessions, and assignments will help you gain in-depth knowledge in Business Analytics, apart from providing hands-on experience in these domains through real-time projects.

To register for the program, you can reach out to our learning consultants or contact us through the above-given details on this page.

Based on the current understanding, Business Analytics is growing rapidly. Business analytics is expected to impact and influence various industries, such as marketing, sales, customer experience, finance, risk management, and HR, in the near future. Business analytics certification courses will help in getting better-paying career prospects in the near future.

To become a business analyst, you need to have strong communication skills, domain knowledge, and an in-depth understanding of business analysis tools. A strong forte in aspects of problem-solving is a plus. It would be correct to say that to succeed as a business analyst, you need to have strong analytical skills. Thus, coding or programming is a plus, but not a mandatory requirement.

Our Learning Management System (LMS) ensures a customized learning experience that includes both live sessions & self-paced videos. In case you miss a live session, you will be able to watch the recorded video of the session so you don’t have to worry about missing out on a lesson.

You will be awarded an industry-recognized certification after the completion of the program.

Intellipaat’s certification has lifetime validity and is recognized by top organizations around the world.

If you happen to miss a session, there is nothing to worry about. You won’t have to miss anything because you can watch the session’s recording on the LMS.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Once you complete Intellipaat’s training program, work on real-world projects, quizzes, and assignments, and score at least 60% marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some Fortune 500 companies.

Intellipaat provides career services that include Guarantee interviews for all the learners who successfully complete this course. FSM and UCR are not responsible for the career services.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

I’m Interested in This Program

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