Course Design By
Nasscom & Wipro
Home /HR & Business Analytics/ Business Analytics Course in Canada
Master the Fundamental Concepts of Business Analytics. Enroll today and become a skilled Business Analytics expert.
In collaboration with
30 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
Master the Core Tools: Learn to use industry-standard tools like Excel, SQL, Tableau, and Power BI.
Data Collection and Processing: Understand how to gather, clean, and organize data from various sources.
Statistical Analysis: Learn basic statistics to interpret data, spot trends, and predict future outcomes.
Data Visualization: Gain skills to create interactive dashboards and reports using Tableau and Power BI.
Problem Solving with Data: Use data analysis to find solutions to business challenges and improve decision-making.
Predictive Analytics: Learn to build models to predict future trends based on data
Entry-Level Business Analyst: CAD 50,000 to CAD 65,000 per year.
Junior Data Analyst: CAD 45,000 to CAD 60,000 per year.
Business Intelligence Analyst: CAD 55,000 to CAD 70,000 per year.
Junior Analyst to Senior Analyst: With more experience, you can move into senior roles managing complex data projects.
Specializing in Business Intelligence: You may become an expert in data visualization tools like Tableau and Power BI.
Data Scientist: Transition into more advanced data roles like data scientist, which involves machine learning and statistical modeling.
Consultant or Manager: Move into leadership roles, where you help businesses make strategic decisions based on data.
High Demand for Analytics Professionals: Almost every industry needs skilled analysts to help them make better decisions using data.
Versatile Career Paths: The skills learned in the course can be applied to various roles across industries like finance, healthcare, and retail.
Data-Driven Business: Companies are increasingly relying on data, which makes business analytics a high-demand skill.
Career Opportunities: With the rise of data-driven decision-making, the need for business analysts is expected to increase.
Hands-On Learning: The course includes practical training on real-world analytics tools like Excel, Tableau, and SQL.
Business Analyst: Identifying business needs, gathering data, and providing actionable insights for decision-making.
Data Analyst: Analyzing data to identify trends and patterns that help businesses make better decisions.
Business Intelligence Analyst: Creating reports and dashboards using tools like Tableau and Power BI to visualize data for management.
Data Scientist: Using advanced statistical techniques and machine learning to analyze complex data and predict future trends.
Consultant: Advising companies on how to use data to improve their business operations and strategies.
Finance: Banks, investment firms, and insurance companies use analytics to assess risk, improve customer service, and optimize operations.
Healthcare: Healthcare providers and organizations use analytics to improve patient care and operational efficiency.
Retail and E-Commerce: Retailers analyze customer data to optimize inventory, marketing, and sales strategies.
Consulting: Consulting firms need data analysts to help clients use data to improve their business operations.
Technology: IT companies use analytics to improve products, services, and customer experiences.
Resume Building: We help you create a professional resume tailored to business analytics roles.
Interview Preparation: Youll receive guidance on how to perform well in interviews, with mock interview sessions to boost your confidence.
Job Placement Assistance: We partner with top companies in various industries to help you find job opportunities.
Job Fairs and Networking: Access job fairs and networking events where you can meet potential employers.
Post-Course Support: Even after completing the course, we provide ongoing support to help you with job placement.
we train you to get hired.
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Understanding the evolution of analytics in business
What is Business Analytics Definitions and relevance
Components of Business Analytics: People, Process, Technology
Difference between Data Science, Business Analytics, and Business Intelligence
Types of analytics: Descriptive, Predictive, Prescriptive
Overview of the Analytics Lifecycle
Business Analyst roles and responsibilities
Tools used in Business Analytics (Excel, SQL, Python, Power BI, Tableau)
Industry applications of Business Analytics
Case studies: Banking, Retail, Healthcare, Manufacturing
Excel interface and data navigation tips
Working with structured datasets in Excel
Data formatting, conditional formatting, and data validation
Formulas and Functions:
Data Cleaning Techniques
Sorting, Filtering, and Advanced Filters
Using Named Ranges for clarity and speed
Charts and Graphs: Column, Line, Bar, Pie, Combo, Sparklines
Creating PivotTables and PivotCharts
Using slicers and timeline filters
Introduction to Power Query for data transformation
Goal Seek, Scenario Manager, and Data Tabl
Creating interactive dashboards with Excel
Types of data: Structured vs Unstructured, Qualitative vs Quantitative
Levels of Measurement: Nominal, Ordinal, Interval, Ratio
Measures of Central Tendency: Mean, Median, Mode
Measures of Dispersion: Range, Variance, Standard Deviation
Skewness and Kurtosis
Basics of Probability and probability distributions
Normal Distribution, Binomial and Poisson Distributions
Sampling techniques and sample size determination
Central Limit Theorem
Confidence intervals and margin of error
Hypothesis Testing:
Correlation analysis and Pearson's coefficient
Linear Regression analysis
Interpreting statistical outputs in business context
Basics of databases and relational database design
Understanding ER models and data schemas
Introduction to SQL syntax and queries
SELECT statements and filtering with WHERE clause
Sorting results using ORDER BY
Aggregate functions: SUM, AVG, COUNT, MIN, MAX
GROUP BY and HAVING clauses
Using ALIAS for readability
Understanding JOINs: INNER, LEFT, RIGHT, FULL OUTER
Subqueries and Nested queries
Common Table Expressions (CTEs)
Window functions (ROW_NUMBER, RANK, LEAD, LAG)
Case expressions and IF conditions
Date and string functions
Creating and modifying views
Basic data manipulation (INSERT, UPDATE, DELETE)
Practice with large datasets
Introduction to BI tools: Differences between Power BI and Tableau
Connecting to multiple data sources
Data modeling and data relationships
Measures vs calculated columns
Data transformation and cleaning using Power Query
Designing basic and advanced charts:
Using filters, slicers, and date hierarchies
Drill-downs and drill-through reports
Tooltips and interactions
Using DAX in Power BI:
Creating dashboards and layouts
Publishing and sharing dashboards
Real-world dashboarding use cases:
Introduction to Python and Anaconda environment
Data types, variables, control structures (if, for, while)
Functions and Lambda expressions
Working with lists, tuples, dictionaries
Reading and writing files
Introduction to NumPy:
Introduction to Pandas:
Exploratory Data Analysis (EDA)
Data visualization with:
Automating Excel/CSV reports with Python
Overview of Machine Learning in Business
Supervised vs Unsupervised Learning
Linear Regression:
Logistic Regression:
Decision Trees and Random Forests
K-Means Clustering
Model evaluation metrics:
Overfitting and Underfitting
Train-test split and Cross-validation
Feature selection and engineering basics
Business case applications:
Choosing a real-world capstone project (Retail, Finance, HR, Marketing, etc.)
Defining the business problem statement and KPIs
Data collection and preparation
Exploratory Data Analysis and visualization
Building dashboards and simple predictive models
Final project presentation with business insights
Peer and mentor reviews
Resume building tailored to Business Analyst roles
Interview preparation:
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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13-Oct-2025*
08-Oct-2025*
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
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we train you to get hired.
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You will learn to use tools like Excel, SQL, Tableau, Power BI, and more to analyze and visualize data.
No, this course is designed for beginners, so you don’t need any prior experience in analytics or data science.
Yes, many institutions offer the Business Analytics course online, allowing you to study from anywhere.
We offer resume building, interview preparation, job placement assistance, and access to job fairs and networking events.
This course will provide you with the skills to enter the growing field of business analytics and increase your chances of landing a job with top companies.
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