Data Science & Business Intelligence Program
August 27, 2024 2025-06-24 11:28Data Science & Business Intelligence Program
Data Science With Business Intelligence Program
Integrates theory with practical applications for effective learning.
Offers flexible learning formats to accommodate different schedules.
Provides access to industry tools and resources.
Focuses on both technical skills and business acumen.
Facilitates networking opportunities with professionals and peers.
Includes real-time feedback and support from experienced instructors.
Prepares for a range of roles in data science with business intelligence.
Emphasizes problem-solving and critical thinking skills.
Ensures continuous learning and adaptability to emerging technologies.
Bridge Data Science with Business Intelligence
Weekly sessions with industry professionals
Dedicated Learning Management Team
375 hours of hands-on learning experience
Over 120 hours live sessions spread across 05 months
160 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 35+ industry-related projects and case studies
Personalised mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Weekly sessions with industry professionals
Dedicated Learning Management Team
375 hours of hands-on learning experience
Over 120 hours live sessions spread across 05 months
160 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 35+ industry-related projects and case studies
Personalised mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking
Why Join Data Science & Business Intelligence Program?
Upcoming Batch:-
19th January 2025 (10pm to 1 am )
1st of February 2025 (10 pm to 1 am)
Data Science & Business Intelligence Program Overview
This Program provides a practical curriculum tailored to impart necessary skills in data analysis and visualization among-st the professionals. The program covers the fundamentals of data science and provides hands-on experience with Python for data manipulation and analysis. The ways to interpret and decide the data is very vast hence learn advanced statistical techniques for this. The learners will get hands-on experience in machine learning and deep learning for predictive modeling. It teaches how to manage data through database management, creating visualizations it covers from Power BI and Tableau to working advanced visualization Tables on these Tools. In the end, our comprehensive approach helps students tie it all together so they can apply data-informed insights meaningfully, and make strategic business decisions.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Batch Schedule
| Batch | Batch Type |
|---|---|
| Online Live Instructor Led Session | Full-Time |
| Online Live Instructor Led Session | Part-Time |
Regional Timings
| Region | Time |
|---|---|
| IST (India Standard Time) | 09:00 PM – 12:00 AM |
| Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM – 09:30 PM |
| UAE / Oman | 07:30 PM – 09:00 PM |
Talk to our Corporate training advisor
Data Science & Business Intelligence Program Objectives
This Program is to impart participants with insights into data analysis, interpretation and visualization for effective decision-making. As part of this course, you will learn some basics as well as sophisticated tools like Python programming, Data Analysis with Statistics and Machine Learning & Deep Learning for both beginners to advanced level. The diversification in the subjects ranges from SQL & Data Visualization softwares such as Tableau, and Power BI etc,. Graduates of the program will learn how to leverage data-driven insights, advanced analytical methods and compelling visualizations that drive strategic business decisions.
Why Learn Data Science & Business Intelligence Program ?
Program Advantages
Covers the entire data science and business intelligence pipeline, from data collection and analysis to visualization and strategic decision-making.
Gain in-depth knowledge of Python, the leading programming language for data science, allowing you to perform data manipulation, analysis, and automation efficiently.
Build a solid understanding of statistics, enabling you to make data-driven decisions and apply advanced statistical methods in real-world scenarios.
Learn cutting-edge techniques in machine learning and deep learning to build predictive models and AI-driven solutions.
Develop robust SQL skills, essential for querying and managing large datasets, ensuring you can handle data efficiently in any database environment.
Master Tableau and Power BI to create dynamic and interactive data visualizations, making complex data insights accessible and actionable.
The program is designed to reflect current industry standards and practices, ensuring that the skills you learn are immediately applicable in your career.
Covers the entire data science and business intelligence pipeline, from data collection and analysis to visualization and strategic decision-making.
Gain in-depth knowledge of Python, the leading programming language for data science, allowing you to perform data manipulation, analysis, and automation efficiently.
Build a solid understanding of statistics, enabling you to make data-driven decisions and apply advanced statistical methods in real-world scenarios.
Learn cutting-edge techniques in machine learning and deep learning to build predictive models and AI-driven solutions.
Develop robust SQL skills, essential for querying and managing large datasets, ensuring you can handle data efficiently in any database environment.
Master Tableau and Power BI to create dynamic and interactive data visualizations, making complex data insights accessible and actionable.
The program is designed to reflect current industry standards and practices, ensuring that the skills you learn are immediately applicable in your career.
Data Science & Business Intelligence Program Certification
Data Science & Business Intelligence Program Learning Path/Curriculum
Module 01 - Python
Lecture 01: Orientation (Introduction to Data Science, Scope of Data Science)
Lecture 02: Introduction to Python, Why Python, Variables, Data Types, Type castings, Strings, Indexing
Lecture 03: Operators and Conditional Statements, Looping Statements and it's Control Statement
Lecture 04: Lambda Functions, *args, **kwargs, Functions
Lecture 05: Data Structures - List, Tuple and List Comprehensions
Lecture 06: Data Structures - Set and Dictionaries
Lecture 07: Classes, Objects and Constructors, Inheritance
Lecture 08: Polymorphism, Abstraction and Encapsulation
Lecture 09: Connecting to Databases, Establishing connections to databases, Executing SQL Queries, ORM (Object-Relational Mapping), Working with NoSQL Databases
Lecture 10: Introduction of Numpy, and Pandas
Lecture 11: Introduction to Seaborn and Matplotlib
Module 02 - Statistics
Lecture 12: Introduction to Statistics, Descriptive Statistics, Sample, Population, Measures of Central Tendency, Standard Deviation
Lecture 13: Variance, Range, IQR, Outliers, Correlation, Covariance, Skewness, Kurtosis, Probability
Lecture 14: Probability, Probability Distributions, Central Limit Theorem, Binomial and Poisson Distribution
Lecture 15: Normal Distribution, Type I & Type II Error
Lecture 16: T-test, Z-test, Hypothesis Testing Interview Questions
Module 03 - Machine Learning
Lecture 17: Introduction to ML, Types of Variables, Encoding, Normalization, Standardization, Types of ML, Linear Regression
Lecture 18: Linear Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Decision Tree, Random Forest
Lecture 19: Mean Absolute Error, Mean and Root Mean Square Error, Confusion Matrix, R² Score, Adjusted R² Score, F1 Score
Lecture 20: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, XGBoost
Lecture 21: Unsupervised Machine Learning, PCA, Clustering, K-Means Clustering and Hierarchical Clustering
Module 04 - Deep Learning
Lecture 22: Introduction to Neural Networks, Forward Propagation, Activation Functions
Lecture 23: Activation Functions (Linear, Sigmoid, ReLU, Leaky ReLU), Optimizers, Gradient Descent, Stochastic Gradient Descent
Lecture 24: Mini Batch Gradient Descent, Adagrad, Padding, Pooling, Convolution, Checkpoints, Neural Networks Implementation
Lecture 25: Introduction to Time Series Analysis, Various Components of TSA, Decomposition Method (Additive and Multiplicative)
Lecture 26: ARMA and ARIMA
Module 05 - SQL
Lecture 27: Basic of Database,Types of Database,Data Types, SQL Operators, Expression, Create, Insert
Lecture 28: Drop, Truncate, Delete, Alter, Update, Select, Range, Operater, IN,Wildcard, Like, Clause
Lecture 29: Constraint, Aggregation Function, Group by, Order by, Having
Lecture 30: Joins, Case, Complex Queries, Doubt Clearing
Module 06 - Tableau
Lecture 31: Tableau Desktop, Tableau products
Lecture 32: Data import, Measures, Filters
Lecture 33: Data transformation, Marks, Dual Axis
Lecture 34: Manage worksheets, Data visualization, Dashboarding,Project
Module 07 Power BI
Lecture 35: Power BI Platform, Process Flow
Lecture 36: Features, Dataset, Bins
Lecture 37: Pivoting, Query Group, DAX Function
Lecture 38: Formula, Charts, Reports, Dashboards
Lecture 39:Bookmarks and Buttons, Conditional Formatting and Sorting, and Report Layout and Interaction
Lecture 40: Tabular Visuals, Modelling and Calculations, Advanced Data Modelling Scenarios and DAX in Power BI
Data Science & Business Intelligence Program Skills Covered
Data analysis techniques
Python programming
Statistical Analysis
Machine Learning Techniques
Deep Learning Techniques
Data Visualization
Data Analysis Proficiency
Advanced Python Programming
SQL Mastery
Business Intelligence Implementation
Data Science & Business Intelligence Program Tools Covered
Data Science & Business Intelligence Program Benefits
Projects that you will Work On
Machine Learning
No. of Projects:10
Deep Learning
No. of Projects:10
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Job Obligation after this course
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Gather and preprocess data from various sources to ensure accuracy and completeness for analysis.
Analyze large datasets using statistical methods and analytical tools to extract meaningful insights and trends.
Design, build, and validate machine learning and statistical models to address business problems and forecast outcomes.
Create and maintain visualizations and dashboards using tools like Tableau and Power BI to present data insights clearly and effectively.
Generate and deliver reports summarizing findings, recommendations, and actionable insights to stakeholders and decision-makers.
Work closely with cross-functional teams, including business units, IT departments, and management, to understand their data needs and provide solutions.
Utilize and manage tools and technologies related to data science, such as Python, SQL, and data visualization software.
Apply analytical skills to solve complex business problems, offering data-driven recommendations and solutions.
Stay updated with industry trends, emerging technologies, and best practices in data science and business intelligence.
Companies Hiring for this course
Batch Professional Profiles
Program Advisors
IITs
IIMs
NITs
Experts from the IT Industries.
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.
Course Fees & Financing
Course Fees
(50% OFF upto 31ˢᵗ March)
(Inclusive Of All Taxes)
Payment Partners
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Upcoming Batches/Program Cohorts
| Batch | Date | Time | Batch Type |
|---|---|---|---|
| Online Live Instructor Led Session | 5th April 2025 | 10:00 AM | Full-Time |
| Online Live Instructor Led Session | 29th March 2025 | 02:00 PM | Part-Time |
Comparison with Others
| Criteria | Your Program | Other Programs |
|---|---|---|
| Comprehensive Curriculum | Covers data science, business intelligence, and advanced tools | May focus on fewer areas or tools |
| Python Programming | Included | Often included but may vary in depth |
| Statistics | Strong emphasis | May vary in coverage and depth |
| Machine Learning & Deep Learning | In-depth coverage | May be introductory or less extensive |
| SQL | Extensive training | Usually covered but depth may vary |
| Data Visualization Tools | Mastery of Tableau and Power BI | May include one or both, often less comprehensive |
| Real-World Projects | Hands-on projects and case studies | May include fewer projects or less practical focus |
| Industry-Relevant Curriculum | Aligned with current industry standards | Varies, may not always be up-to-date |
| Career Support | Includes job placement assistance and resume building | Varies, often not included |
| Certification | Recognized certification upon completion | May or may not include certification |
Self Assessments
Data Science & Business Intelligence Program Training Faqs
A Data Science and Business Intelligence program teaches students to analyze data, extract insights, and support business decisions. It covers data science fundamentals like statistical analysis and machine learning, as well as business intelligence tools and techniques such as data warehousing, reporting, and dashboarding. Graduates are prepared for roles like data analysts, BI analysts, and data scientists.
Integrate data science with BI to drive organizational growth.
A degree in Engineering, Mathematics, Science, or any equivalent field is ideal for pursuing a career in Artificial Intelligence and Data Science.
INR Fees(Exclusive of GST) : INR 144,999.00 INR Fee(Inclusive of GST) : INR 171,099.00 USD Fee: 1735(subject to be change)
After completion of this course career scope are Data Scientist, BI Analyst, Business Analyst.
Introduction to Data Science- 03 Hrs, Python /R Programming-30 Hrs, Statistics-15 Hrs, Machine Learning-15 Hrs & Deep Learning-15 Hrs, SQL,-12 Hrs Tableau-12 Hrs, Power BI- 18 Hrs
5 months.
40 lectures.
Python programming, data analysis, machine learning, deep learning, statistical analysis, data visualization, model evaluation, feature engineering, neural networks, transfer learning.Descriptive statistics, probability theory, Database management, SQL querying, Dashboard creation, data storytelling
Entry-level: 5-9 lakhs per annum
Mid-level: 9-15 lakhs per annum
Senior-level: 15+ lakhs per annum
Mid-level: 9-15 lakhs per annum
Senior-level: 15+ lakhs per annum
Core Data Science: Deep learning, machine learning, and statistics. Business intelligence : includes dashboards, ETL, and data warehousing. Tools for visualization: Power BI, Tableau, and sophisticated Excel. Technologies: NoSQL, Hadoop, Spark, SQL, R, and Python. Data analytics: Predictive analytics, data exploration, and data cleansing. Useful Applications: Case studies and real-world initiatives. Professional development includes networking, career assistance, and certifications.
1, we will optimise linked in profile and the algorithm of linkedin profile
2, We will conduct GITHUB and Kaggle sessions
3, We will do multiple Hackathons and guide you in problem solving skills for the interview process
4, We will ensure peer learning session are being conducted
5, We will issue mini certification for every tools
6, We will asign you a personal mentor on pre booking i’t a one one session.
2, We will conduct GITHUB and Kaggle sessions
3, We will do multiple Hackathons and guide you in problem solving skills for the interview process
4, We will ensure peer learning session are being conducted
5, We will issue mini certification for every tools
6, We will asign you a personal mentor on pre booking i’t a one one session.
