Business Analytics Course
Driving Business Functions Through Analysis, Visualization, and Insights.
Languages and Tools covered
Online
₹35,000/ *
- Online Training Program
Offline
₹40,000/ *
- Classroom Training Program
- 12 Weeks, 40 Sessions Program
- 4 Projects + 2 Mini Projects
- Hybrid Learning Model
- Certification Program
- Internship Included
- Job Placement Assistance
- Hackathon with Certification
- Regular or Weekend Batches
Get FREE 1:1 Counselling
Business Statistics
This module introduces the foundational concepts of business statistics, equipping students with the skills needed to analyze and interpret data for informed business decision-making. Students will gain a comprehensive understanding of both descriptive and inferential statistics and their applications in business contexts.
Descriptive Statistics
+
- Data vs Information vs Insight
- Introduction to Business Statistics
- Data Representation
- Measures of Central Tendency (Mean, Median, Mode)
- Measures of Distribution
- Normal Distribution
- Measures of Dispersion (Variance, SD)
- Measures of Position (Deciles, Percentiles, Quartiles, etc.)
- Standardization, Covariance, Correlation, Regression
Inferential Statistics
+
- Introduction to Probability
- Measuring Probability
- Types of Probability
- Law of Large Numbers
- Bayes Theorem
- Sampling Techniques
- Central Limit Theorem
- Hypothesis Testing, Confidence Interval, p-value, Significance Level
- Type I & II Errors
- t-test, z-test, Chi-Square, ANOVA
Advanced Excel for Analytics
This module delves into the advanced features and capabilities of Excel, empowering students to perform sophisticated data analysis and make data-driven decisions. Students will learn how to manage and analyze data efficiently using advanced Excel functions and tools.
Advanced Excel
+
- Getting Started with Excel, Introduction, Toolbar
- Formatting in Excel, Formula Tab, Essential Formulae
- Functions in Excel, Errors & Handling
- Conditional Statements, String Handling, Statistical Functions
- Date & Time Functions, LOOKUP in Excel
- Data Toolbar, Advanced Analytics Tool Pack
- Crosstab Analysis & Pivoting
- Macros in Excel, Editing & Referencing, Data Protection
- Visualization using Excel
MIS Reporting
+
- Basics of Management Information Systems
- MIS Techniques, Tools for MIS
- Creating Reports and Dashboards using Excel
- Auto-referencing, Updates, Publishing Reports
Database Concepts & MySQL
This module provides a comprehensive introduction to relational databases, which are fundamental to organizing and managing data in many modern applications. Students will learn the principles of relational database design, querying, and management, enabling them to store, retrieve, and manipulate data efficiently.
Relational Databases
+
- Introduction to Data & Databases
- Understanding Relational Databases
- Data Storing, DBMS, Schema
- Queries, Indexes, and Security
- Types of Databases
SQL
+
- Introduction to SQL, Data Structure, Basic Commands
- Data Querying, Constraints, Functions, Manipulation
- Data Definition, Installing MySQL, Setting up MySQL Server
- DDL, DML, DQL, TCL, DCL
- Joins, Union, Union All, Views, Aggregating Data
- Sub Queries, Window Functions
- Stored Procedures, Exception Handling, Triggers, Common Table Expression
Python with Libraries
This module covers the essential fundamentals of Python programming. Starting from the basics of Python syntax and progressing through key concepts such as sequences, conditional statements, and control loops. Students will gain a solid foundation in Python, enabling them to write and understand simple to moderately complex programs.
Introduction to Python
+
- Programming Basics using Python
- Scientific & Numerical Computing
- Algorithm Thinking, and Flow Charting
- Python IDE, Jupyter Notebook, VS Code
- Expressions, Indentation, Keywords, Identifiers
- Variables, Comments, Type Casting, Data Types
- input() & print(), Types of Operators
Advanced Python Concepts
+
- Random Module, Zip, Functions (Default & User-Defined)
- Parameters vs. Arguments, Lambda, map, reduce, filter
- Namespaces, Scope of Variables
- OOP Concepts, Inheritance, Polymorphism, Multithreading
- Exception Handling, Try & Except, finally & raise
- NumPy Library, Pandas Library
Visualization in Python
+
- Basics of Data Visualization
- Matplotlib for Data Storytelling: Different charts/plots
- Seaborn for Data Storytelling: Different charts, Styling
Exploratory Data Analysis (EDA)
This module provides a comprehensive overview of Exploratory Data Analysis (EDA) techniques, crucial for understanding and preparing data for further analysis. Students will learn both qualitative and quantitative methods for examining data, along with essential skills in data profiling and management.
Exploratory Data Analysis (EDA)
+
- Data Loading from Multiple Sources
- Data Analysis, Management, Aggregation, Correlation Analysis
- Date & Time methods, Analyzing Real-time Data
- Applying Visualization, Insight Generation, and Reporting
Feature Engineering
+
- Understanding Features, Feature Selection
- Creating, Extraction, Encoding, Scaling, and Transformation Techniques
- Data Preprocessing for Analysis & ML
Time Series Analysis
+
- Understanding Time Series, Metrics & Events, Analysis
- Auto Regression (AR), Auto Correlation, Moving Average Method
- Stationarity of Time Series, ARIMA, and ML for Time Series
Power BI
This module provides an in-depth exploration of Power BI, a powerful business analytics tool. Students will learn how to use Power BI to transform raw data into meaningful insights through interactive dashboards and reports.
Exploring Power BI
+
- Introduction, Installation, Parts: Desktop, Service, Mobile apps
- Power BI Workflow, Importing Data: Loading data from different sources
- Power Query Editor, Data source connectivity
Advanced Power BI
+
- Data Cleaning and Transformation, Data shaping
- Query Dependencies, Parameters, M Language
- Data Transformations: Cleaning, Filtering, Sorting, Aggregating, Reshaping, Joining, Splitting
- Deriving calculated fields, Handling Time Series, Modeling, Relations between tables
- Analytical Queries with DAX: Columns, Measures, Aggregation, Math, Logical, Relationship, Filter
- Information, Table Manipulation, Text DAX Functions, DAX Query Tools
- Time Intelligence: Functions, Reports with time intelligence
- Visualizations with data points, Buttons, Bookmark, Drill-through, Applying filters
- Publishing reports into Service, Multi-page, Simple to Complex
- Row Level Security
Tableau for Business Intelligence and Data Analytics
This course offers a comprehensive introduction to Tableau, a powerful tool for business intelligence and data visualization. Students will learn to effectively load, transform, and model data within Tableau, enabling them to create insightful and interactive visualizations.
Foundations of Tableau
+
- Installation, Tableau vs. Power BI
- Components, MDX functions, Parameters, calculated fields
- Geographic & Time Series, Visualizations
- Dashboard and Stories, Publishing
Introduction to Machine Learning
This course provides a foundational overview of machine learning, covering key concepts, techniques, and applications. Students will learn about different types of machine learning, including supervised, unsupervised, and reinforcement learning.
Essentials of Machine Learning
+
- Exploring ML, Supervised vs. Unsupervised
- Data Pre-processing vs. Accuracy, Classification vs. Clustering
- Architecture of ML, Training & Testing Data, Hyperplane
Linear Regression
+
- Simple, Multiple & Polynomials, Lasso
- Model Training & Evaluation Metrics
- Understanding Errors (SSE, SSR, SST, MSE)
- R-Square, Adj. R Square, RMSE, OLS Method, Cost Function, Gradient Descent
Classification - Logistic Regression
+
- Logistic Regression, Log Odds, Model Optimization
- Confusion Matrix, Bias & Variance
Reporting & Dashboarding
This module provides an in-depth understanding of dashboard reporting, offering a visual representation of key performance indicators (KPIs). Students will learn to create and refine dashboards for real-time data analysis and strategic reporting.
Essentials
+
- Requirement Analysis, Objective identification
- Data Gathering & Representation, Data Integration
- Stakeholder Identification, Resource Planning, Tool Analysis
- Project Management, Delivery guidelines
Report Generation
+
- Structured and Unstructured data, Layout finalization
- Selecting graphs and charts, Data Analysis, Shortfall identification
- Data Sufficiency, Visualization, Presentation
- Operational Reports, Analytical Reports, Strategic Reports
- Insights to key metrics and trends, Summary writing
Dashboarding
+
- Single and Multi-form designs, Connecting Databases
- Dynamic reports, Visual Representation, Real-time data analysis
- Customization, Accessibility, Publishing
- Operational and Analytical Dashboards
- Testing and Refining, Deployment and Monitoring
Real-time Projects
Curriculum
The Curriculum supports step-by-step transformation while building confidence to handle various domain problems.
40 Sessions
Learning content
15+
Languages & Tools
WhyBusiness Analytics
Business Analysts play a key role in supporting decision-making by generating insights from data. This course equips you with the tools and techniques needed to analyze data, generate reports, and provide real-time recommendations to management, making you a valuable asset in today's data-centric market.
- Insight Generation:
- Learn to utilize data effectively to generate insights that support management in decision-making processes.
- Statistical and Financial Models:
- Gain proficiency in using statistical and financial models to conduct thorough analysis and derive real-time inputs.
- Structured Analysis & Reporting:
- Develop the skills to create structured analysis and reporting, providing management with actionable recommendations.
Course Information
Business Analyst course is a good one for those with non-technical and administration backgrounds. In case you are considering Business Analytics course you are getting ready to be part of the Data-Centric world. As part of this course, you would learning various Statical Analysis, Tools and Techniques, Visualization, Dashboarding, Presentation techniques and more. With dedication and practice you could be a Business Analyst and get yourself market-ready. You would engage in solving real-time business problems using data. Working closely with the management to bring improvement in the processes will give you an edge.
All-in-one Business Analytics Program
Our Business Analytics course is designed to provide you with the skills needed to thrive in the analytics domain. The program focuses on making learning easy and job-focused, with minimal coding required. Through a hybrid learning model, hands-on projects, and job preparation support, you’ll be ready to excel in the business analytics field.
- Easy to learn and Job-ready program
- The curriculum is designed to be accessible and job-focused, ensuring you are prepared for a career in business analytics.
- No coding involved
- This course focuses on the analytical side of business without requiring extensive coding skills, making it ideal for non-programmers.
- Hybrid Learning Model
- Benefit from a flexible learning experience with both online and offline sessions, tailored to fit your schedule and learning preferences.
- Minimum Batch Size
- Small batch sizes ensure personalized attention, fostering a more effective and engaging learning environment.
- Job Preparation with Profile building
- Get ready for the job market with comprehensive profile-building support, including resume crafting, mock interviews, and portfolio creation.
- Internships and projects
- Apply your knowledge through internships and real-world projects, enhancing your practical skills and employability.
- Scholarship Assessments
- Participate in scholarship assessments to help manage the cost of the program, making quality education more accessible.
Course Highlights
If you're preparing to enhance your skills and knowledge. Our courses emphasize foundational learning, practical implementation through projects, and real-world experience, ensuring you are well-prepared for the challenges of your chosen field. From engaging hybrid learning sessions to hands-on internships, our comprehensive approach is designed to build your confidence and transform your expertise into career-ready skills.
Prepare
Foundation courses designed to bring you up to the speed, irrespective of your background.
Learn
Hybrid Learning to engage learners even before the class for effective knowledge transfer.
Implement
Project-Based Learning for confidence building and transferring knowledge into skills.
Experience
Internships & Job Readiness to give real-time experience and prepare for interviews.
Jobs for a Business Analyst
Business Analyst is the best course for those from administration or business background. There is increasing demand for these professionals in the organizations as they would generate necessary insights for decision making. These is emphasis on statistical analysis and visualization skills to identify problems and help in guiding the organization towards business goals. Communication and presentation skills are also essential for this role. These skills and knowledge would increase the employability of the BA aspirant.
Contact us
Get in Touch With Us
- Phone number
- 8977944952/53
- hello@cedlearn.com
- DELHI
HYDERABAD
KOCHI
BANGLORE
Business Hours :
Monday - Saturday: 9:00a.m to 8:00p.m
Sunday: With Appointment Only
Send a Message
Write to us. We would catch up with you as soon as we receive your message
scholarship & discounts
We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.