Join our “Data Analytics Bootcamp” training and master MS Excel, Power BI, SQL, and Python.
Through these 60 hours of classes, you’ll gain the skills necessary to thrive in the competitive job market or launch a successful freelance career. Unleash your potential as a data analyst!
COURSE TABLE OF CONTENT
Excel for Data Analysis
• Excel shortcuts make life easy
• Data Validation
• Data Analysis techniques
• Filter, Multi Filter, Sort, Multi Sort and Custom Sort
• Conditional Formatting
• Working with Basic Charts
• Working with Multiple Worksheets and workbooks (Links)
• Applying Security to Files, Workbooks & Worksheets
Essential Formulas for Data Analysis
• SUM, AVERAGE, COUNT, MIN, MAX for basic calculations
• AVERAGEIFS, COUNTIFS, SUMIFS for multi-condition analysis
• SUBTOTAL for filter data analysis
Logical and Lookup Functions
• Logical Functions (IF, AND, OR)
• VLOOKUP, HLOOKUP, and XLOOKUP for searching data
• INDEX and MATCH for advanced lookup scenarios
Advanced Data Analysis Techniques
• Consolidating Techniques
• Working with the Name Manager
• Advanced Charting and Graphs
• Data Analysis with What-If Analysis Tools
Data Analysis with Pivot Tables
• Creating Pivot Tables from raw data
• Summarizing data using Pivot Tables
• Grouping data by categories, dates, and values
• Calculated fields and items for custom analysis
• Using slicers to filter data interactively
• Creating dynamic Pivot Charts from Pivot Table data
• Formatting and customizing charts for presentation
Visualizing Data with Charts
• Bar, line, pie, and column charts for visualizing trends
• Adding and formatting data labels, axes, and legends
• Combination charts (e.g., bar and line charts)
• Sparklines for in-cell mini charts
Dashboards and Reporting in Excel
• Designing a dashboard layout for clear data representation
• Using Pivot Tables, Pivot Charts, slicers, and form controls for interactive dashboards
• Design Principles for Effective Dashboards
• Ensuring consistency, clarity, and readability
• Optimizing dashboards for sharing and collaboration
• Exporting dashboards and reports as PDFs or Excel workbooks
• Protecting data and restricting access to sensitive information
• Conditional Formatting for Data Highlighting
• Creating Sparklines for In-Line Data Trends
Data Analysis with Power Query
• Importing data from multiple sources
• Cleaning and transforming data using Power Query
• Combining data from multiple tables and sources
• Creating automated data transformations
Introduction to Power BI Desktop
• Overview of Power BI components: Desktop, Service, and Mobile
• Key features and benefits of Power BI Desktop
• Understanding the Power BI interface and workflow
Data Transformation with Power Query
• Importing data from Excel, databases, CSV files, and cloud services
• Handling multiple data sources
• Removing duplicates and filtering data
• Pivoting and unpivoting data
• Splitting and merging columns
• Conditional columns
• Replacing and transforming values
• Grouping and aggregating data
• Merging and appending queries
Data Modeling in Power BI
• Creating a Data Model
• Defining relationships between tables
• Star schema and snowflake schema in Power BI
• Difference between calculated columns and measures
• Creating calculated columns for custom data
• Optimizing Data Models
• Hiding and sorting columns
• Managing relationships and model performance
• Implementing hierarchical structures (drill-downs)
DAX (Data Analysis Expressions) Functions
• Introduction to DAX
• Syntax and structure of DAX
• Understanding row context and filter context
• Aggregation functions: SUM, MIN, MAX, COUNT, AVERAGE
• Logical functions: IF, SWITCH
• Text functions: CONCATENATE, LEFT, RIGHT
• Time intelligence functions: DATEADD, SAMEPERIODLASTYEAR, YTD, QTD, MTD
• Advanced measures for financial analysis (e.g., YTD growth, % changes)
• Handling complex scenarios with CALCULATE and FILTER
Data Visualization and Reporting
• Best Practices in Data Visualization
• Choosing the right visual for your data
• Overview of visualization types: bar charts, line charts, pie charts, maps, etc.
• Building dynamic and interactive visuals
• Customizing Visuals
• Formatting and styling visuals for clarity and impact
• Conditional formatting for highlighting key insights
• Using slicers and filters to add interactivity
• Creating drill-through and drill-down capabilities for deeper analysis
• Adding tooltips and custom visuals for enhanced reporting
• Simplifying and decluttering reports for better readability
Report Sharing and Collaboration
• Publishing reports to the cloud (Power BI Service)
• Sharing reports via email, Teams, and embedding in websites
• Setting up automatic data refreshes
• Scheduling reports and dashboards to update regularly
Introduction to SQL Server
• Overview of SQL Server
• What is SQL Server?
• Installation and Setup
• SQL Server Management Studio (SSMS) Interface
Basics of SQL
• Introduction to SQL
• SQL Syntax and Structure
• Data Types
• Basic SQL Commands
• SELECT, FROM, WHERE
• INSERT, UPDATE, DELETE
• Filtering and Sorting Data
• WHERE Clause
• ORDER BY Clause
Advanced SQL Queries
• Aggregate Functions
• COUNT, SUM, AVG, MIN, MAX
• Grouping Data
• GROUP BY Clause
• HAVING Clause
• Joining Tables
• INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
Data Manipulation and Transformation
• Subqueries and Nested Queries
• Common Table Expressions (CTEs)
• Window Functions
• ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE()
• Data Transformation Techniques
Working with Complex Data Types
• Working with Dates and Times
• Date Functions
• String Functions
• CONCAT, SUBSTRING, CHARINDEX, REPLACE
SQL Server Advanced Topics
• Indexing and Performance Tuning
• Creating and Managing Indexes
• Query Optimization
• Stored Procedures and Functions
• Creating and Executing Stored Procedures
• User-Defined Functions
Data Analysis and Reporting
• Basic Data Analysis Techniques
• Descriptive Statistics
• Using SQL for Data Analysis
• Exploratory Data Analysis (EDA)
• Generating Reports
• Creating Simple Reports in SSMS
• Exporting Data to Excel
Hands-on Projects and Case Studies
• Real-world Data Analysis Projects
– Case Studies
Introduction to Python for Data Analysis
• Overview of Python and its Applications in Data Analysis
• Why Python for Data Analysis?
• Setting Up Python Environment
• Introduction to Google Colab
Python Basics
• Python Syntax and Basics
• Variables, Data Types, and Operators
• Control Structures: if-else, loops
• Functions and Modules
• Defining and Calling Functions
• Importing and Using Modules
Data Structures and Handling
• Working with Lists, Tuples, and Dictionaries
• Introduction to NumPy
• Creating and Manipulating Arrays
• Array Operations and Broadcasting
Working with Data Sources
• Reading from and writing to a csv
• Reading documentation
• API calls
• Data Ethics
Data Manipulation with Pandas
• Introduction to Pandas
• DataFrames and Series
• Data Loading, Cleaning, and Preparation
• Reading and Writing Data (CSV, Excel, etc.)
• Handling Missing Data
• Data Transformation and Filtering
Data Analysis and Exploration
• Exploratory Data Analysis (EDA)
• Descriptive Statistics
• Data Visualization with Matplotlib and Seaborn
• Plotting and Customizing Graphs
• Grouping and Aggregating Data
• Groupby() and aggregate functions
Working with Dates and Times
• Date and Time Data Types and Operations
• Resampling and Time Series Analysis
• Date Functionality in Pandas
Practical Applications and Case Studies
• Real-world Data Analysis Projects
Data Analyst at NexaTech Solution
“Instructo’s course gave me real-world data skills, making my transition into analytics smooth and impactful.”
Reporting Analyst at BlueWave Insights
“The structured curriculum and expert guidance helped me gain confidence in data visualization and analysis.”
Business Intelligence Specialist at Verde Analytics
“Great hands-on learning! The Power BI and SQL modules were game-changers for my workflow”
Market Research Analyst at QuantifyMetrics
“Loved the practical approach! Instructo’s training made complex concepts easy to understand and apply at work.”
Operations Analyst at DataSphere Technologies
“This course provided in-depth analytics training, improving my data-driven decision-making skills at my job.”
Stay ahead with industry-relevant skills, from fundamentals to advanced tools, ensuring you’re prepared for the evolving tech landscape.
Learn by doing through real-world projects, case studies, and practical exercises, gaining the experience needed to apply your skills effectively.
Our courses adapt to your skill level, offering personalized learning experiences that ensure maximum understanding and professional growth.
Gain direct access to industry networks, job opportunities, and real-world projects, seamlessly transitioning from learning to career success.
Engage in discussions, hands-on activities, and collaborative problem-solving for a dynamic, immersive learning experience.
Our trainers are industry professionals bringing real-world expertise, ensuring you learn practical skills that matter.
Yes! Our flexible learning options, including weekend and evening classes, ensure you can upskill without disrupting your daily commitments.
We provide step-by-step guidance, interactive support, and additional resources to help you grasp even the most challenging concepts with confidence.
Absolutely! Our courses focus on real-world applications, industry connections, and job-ready skills to give you a competitive edge in the market.
Yes! Upon successful completion, you’ll receive an industry-recognized certification, adding credibility to your resume and professional profile.
No worries! Our structured approach starts from the basics, gradually building your expertise with clear explanations and hands-on practice.
Yes! You’ll have access to recorded sessions and learning materials, so you can review and reinforce your knowledge anytime.