Advanced Certification in Business Analytics

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

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Career Transition

Shehzin Mulla

Marketing Data Analyst | India

Hear My Story

Salary Hike

Thanks to Intellipaat, I was able to shift from a Data Analyst to a Marketing Data Analyst with a 35% salary hike and gained a deep understanding of Analytics.

Data Analyst

Marketing Data Analyst

Adarsh Vijay

Data Analyst | India

Hear My Story

Non-Tech to Data Analyst

I successfully transitioned from an Electrical Engineer to a Data Scientist in a few months after enrolling in this training from Intellipaat. I received great learning support and rich study material. Thank you Intellipaat.

B. Tech — Electrical, EC Engineering

Data Analyst

Abhilasha Kumari

Executive | India

Hear My Story

25% Salary Hike

After developing an interest in Data Analysis, I enrolled in the training. I am glad I got a job in this domain and shift from a non-tech role to a Data Analyst. Also, I am now much more confident in data analysis than before.

Associate , Client support

Executive

Nishchay Agrawal

Data Engineer | Bengaluru

Hear My Story

Got 30 LPA Package | Fresher to Data Engineer

Intellipaat helped me to acquire a solid job in the third year of BTech. I received seven job offers, with 30 LPA as the highest CTC. Thanks to Intellipaat for making my career successful.

Fresher

Data Engineer

Jeanette Masso

Big Data Developer | Dallas

60% Hike

The course helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online interactive sessions by trainers are the best thing about Intellipaat.

Computer Technical Specialist

Big Data Developer

Prosenjeet Saha

Data Scientist | Bengaluru

Manager to Data Scientist

Intellipaat offered me the best learning experience, and today, I have successfully transitioned from a Manager in Edutech to a Data Scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.

Manager Analytics & Data Science

Data Scientist

Sahas Barangale

Program Manager | Pune

Consultant to Program Manager

Thanks to Intellipaat, I was able to switch to the role of a Program Manager from a Microsoft Dynamics Consultant. Gaining knowledge of the latest technologies as per industry standards helped me the most.

Microsoft Dynamics Consultant

Program Manager

Mahesh Chowdary

Data Scientist | Hyderabad

Non-Tech to Tech

Today, I am a certified Data Scientist and this happened post I enrolled in this program. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this career growth.

Aircraft Maintenance Engineer

Data Scientist

Pratik Kumar

Product Manager | India

85% Salary Hike

With this course, I switched to the Product Manager role with an 85% hike. They conducted so many interviews, live capstone projects, and resume-building strategies that gave me confidence.

Marketing Manager

Product Manager

Bhawna Kaliraman

Data Science Intern | Gurugram

Lecturer to Data Scientist

I was able to achieve my goal of becoming a Data Science professional from being a lecturer, due to Intellipaat. It offered a platform to learn Data Science from the best trainers. The real-life projects were good.

Lecturer

Data Science Intern

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

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.

Skills to Master

PowerBI

MS-SQL

Python Programming

MS Excel

Statistics

Machine Learning

Data Mining

Forecasting

KNIME

Tools to Master

Curriculum

Live Course Self Paced

Module 1 - Python & Linux Preparatory

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.

Module 2 - SQL

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.

Module 3 - Python Libraries For Data Science

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.

Module 4 - Machine Learning

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.

Module 5 - Advanced Machine Learning

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

Module 6 - Deep Learning

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.

Module 7 - Project Work On Data Science

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.

Module 8 - Business Case Studies

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.

Module 9 - Power BI (Optional)

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.

Module 10 - Excel

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.

Program Highlights

50+ Live Session across 8 months

218 Hrs of Self-Paced Learning

50+ Industry Projects & Case Studies

24*7 Support

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

Get Real-world Experience

Restaurant Revenue Prediction

This project, which is based on Restaurant revenue prediction, has been included to let learners predict the sales of a restaurant on the basis of certain objective measurements using feature engineering and selection.

Factors Impacting Business Finance

Find the most impacting factors in the preferences of the pre-paid model. Also successfully identify the variables that are highly correlated with impacting factors. The project allows deep insights into Business Finance.

Deal with Financial Data

The project is included to help learners with hands-on experience in financial data analysis. Analyze global sales numbers and profit data by developing an interactive map, and use map styles and layers for enhanced visualization.

Work with Agricultural Data

As a part of the project, learners will have to display district-wise data to successfully build an interactive treemap with state labels. Also, the districts must be displayed by hovering over the respective states.

Work with Stock Market Data

As an important part of the project, learners are required to use various Machine Learning tools and techniques to successfully create a predictive data model which can effectively help in predicting future stock prices.

Analyzing the Naming Trends Using Python

This project involves the analysis of naming trends using Python. Also, use the Python programming language to understand the applications of data manipulation, extract files with data, and concepts of data visualization.

Identify the Global Mortality Rate Due to COVID-19

The project aims at identifying the mortality rate by COVID-19 at a global level. Analyze and create a dashboard to gain insights into the COVID-19 cases. Use a world map to compare the confirmed.

Analyzing the Trends of COVID 19 With Python

Use the Pandas module to collect data from various files. Also, use Plotly to build interactive visualizations. The project also requires you to use the Prophet library from Facebook to efficiently develop time-series models.

Netflix Movie-Recommendation System

This real-life based project allows you to implement data manipulation, data analysis, and data visualization to identify patterns in the Netflix dataset. It also assists you in learning to use several Machine Learning algorithms.

Web Scraping

The project gives a practical exposure to the applications of Python in Web Scraping. Also get a chance to work on various Web Scraping libraries, Beautiful Soup, Navigable String, parser, searching tree deployment, and more.

Performing Analysis on Customer Churn Dataset

As an important part of the project, learners will be required to analyze employment reliability in the Telecom industry, and also work on real-time analysis of data with multiple labels, data visualization for reliability factor.

Work with the Customer Data of the UK Bank

This real-life based project has been included to let learners analyze and create a dashboard to gain insight from the UK bank's customer data. Build an asymmetric drop-down consisting of the region and the corresponding user details.

	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.

How to register for this course?

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

What is the future scope of Business Analytics?

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.

Is programming necessary to become a Business Analyst?

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.

Do you offer live training or pre-recorded lectures?

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.

What certificate will I be given on course completion?

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

For how long is the certification from Intellipaat valid?

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

What if I fail to attend class?

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.

Can I request a support session if I need to better understand the topics?

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.

How are Intellipaat-verified certificates awarded?

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.

Will FSM and UCR be helping with the Career Services?

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.

Advanced Certification in Business Analytics

About Program

Key Features

About Fore School of Management and University of California Riverside

Career Transition

Shehzin Mulla

Adarsh Vijay

Abhilasha Kumari

Nishchay Agrawal

Jeanette Masso

Prosenjeet Saha

Sahas Barangale

Mahesh Chowdary

Pratik Kumar

Bhawna Kaliraman

Who can apply for the course

What roles does Advanced Certification in Business Analytics Course Provide?

Business Analyst

Marketing and Sales Analyst

Operations Analyst

Data Analyst

BI Developer

Business Analyst Manager

Skills to Master

Tools to Master

Curriculum

Module 1 - Python & Linux Preparatory

Module 2 - SQL

Module 3 - Python Libraries For Data Science

Module 4 - Machine Learning

Module 5 - Advanced Machine Learning

Module 6 - Deep Learning

Module 7 - Project Work On Data Science

Module 8 - Business Case Studies

Module 9 - Power BI (Optional)

Module 10 - Excel

Program Highlights

Interested in This Program? Secure your spot now.

Project Work

Restaurant Revenue Prediction

Factors Impacting Business Finance

Deal with Financial Data

Work with Agricultural Data

Work with Stock Market Data

Analyzing the Naming Trends Using Python

Identify the Global Mortality Rate Due to COVID-19

Analyzing the Trends of COVID 19 With Python

Netflix Movie-Recommendation System

Web Scraping

Performing Analysis on Customer Churn Dataset

Work with the Customer Data of the UK Bank

Career Services By Intellipaat

Career Oriented Sessions

Resume & LinkedIn Profile Building

Mock Interview Preparation

1 on 1 Career Mentoring Sessions

3 Guaranteed Interviews

Exclusive access to Intellipaat Job portal

Our Alumni Works At

Peer Learning

Class Notifications

Hackathons

Career Services

Major Announcements

Collaborative Learning

Admission Details

Program Fee

$ 1,579

Upcoming Application Deadline 24th March 2023

Program Cohorts

Next Cohorts

Frequently Asked Questions

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

How to register for this course?

What is the future scope of Business Analytics?

Is programming necessary to become a Business Analyst?

Do you offer live training or pre-recorded lectures?

What certificate will I be given on course completion?

For how long is the certification from Intellipaat valid?

What if I fail to attend class?