Data Analytics Courses
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Data analytics is an essential skill in today's world due to the vast amount of data that needs processing, regardless of your role. discipline It is important to understand the fundamental concepts and principles before starting with data analytics. These are the ABC or 123 of data analytics.
MMany aspiring data analysts focus on the tools. However, data analytics tools are merely tools. This course will provide you with the concepts and principles needed to successfully complete your various data analysis tasks.
- What Is Data Analytics
- Types of Data
- Why Data Analytics?
- Data Analytics Applications
- Data Analysis Methods
- Data analytics process
- Skills needed to become a data analyst
- Data Analytics Common Tools
- Developing a Data Analysis Strategy
- Data list design
- Data Relationships
- Data Storage
- Data Mining
- Data Structures
- Data Storage
- Data Analytic Forms
Having understood the fundamental principles and concepts of data analytics and explored Microsoft Excel's features, it is now time to focus on specific data analytics tasks and learn how to apply these principles and use Microsoft Excel effectively to handle them. This course will impart life-changing data analytics skills to enable you handle diverse real-life situations.
Microsoft Excel is one of the best tools to use and often sufficient for all your data analysis tasks. You can significantly boost your productivity by going beyond the basics of Microsoft Excel. This training emphasises essential Excel features that simplify data analysis.
- Manipulating Data
- Modifying a Worksheet
- Relative, Absolute and Mixed References
- Linking Worksheets
- Limiting Data That Appears on Your Screen
- Creating a drop-down list
- Hyperlinks
- Sort and Filter
- Charts
- Convert Text to Columns
- Format Worksheet
- Page Properties and Printing
- Set Print Titles
- Printing
- Defining the Print Area
- Split a Worksheet
- Freeze Rows and Columns
- Hide Worksheets
- View Multiple Worksheets Side-by-Side
- References (Relative vs. Absolute)
- Naming Cells and Ranges
- Using Functions (sum, if, and, count etc)
- Using Multiple Worksheets
- Conditional Formatting
- Slicing
- Data Validation
- VLOOKUP/XLOOKUP and Related Functions
- Text Operations
- Date Operations
- Table Operations
- Pivoting Operations
- Importing and Exporting Data
- Hyperlinks
- Protecting Worksheets
- Previewing and Printing
covering everything from basic operation of the tools to advanced data analysis and visualisation techniques. Participants will gain a thorough understanding of Microsoft Power BI for data analysis and visualisation, enabling them to produce compelling reports and dashboards for effective decision-making.
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Introduction to Power BI
- What is Power BI?
- Power BI Desktop
- Reports and Dashboards
- Datasets
- Dashboard Design principles
- Selecting the Right Visuals
- Planning your Layout
- Using Images in Layout
- Power BI Dashboards
- Visualizations Types in Power BI Data Sources
- Data Import
- Updating Files in Power BI
- Data Refresh
- Power BI Data Model
- Managing Data Relationships Interactive Data Visualisations
- Change Canvas Properties
- Change Data Type
- Creating Charts
- Line Charts
- Applying Formatting-Build Visual
- Sort Data in Charts
- Filters
- Slicers
- Using Cards
- Formatting Cards
- Images and Icons in Dashboards
- Drill Through in Power BI
- Conditional Formatting
- Decomposition Tree
- Bookmarks and Page Navigation
- Creating Key Performance Indicators (KPI) Visualization
- Using Measures in Power BI with DAX
Power Query is a business intelligence tool available in Excel that allows you to import millions of rows from diverse sources using a graphical interface and perform transformations with the Power Query Editor. This way, you only need to create a query once (saving all steps) and can reuse it later by simply refreshing when your data updates. Not only does this save you time on data cleaning, but it also minimises manual errors.
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Understanding Power Query
- Overview of Excel Power Query
- When To Use Power Query?
- Power Query Editor Ribbons
- Data Sources and Data Types
- Explore Data Source Settings
- Explore Query Settings Cleaning Data with Power Query
- Get Data from Excel Table
- Change Data Types
- Choose Columns
- Go To Column
- Remove Columns
- Remove Duplicate Rows
- Replace Values
- Fix Specific Formatting
- Sort and Filter Data Transforming Data with Power Query
- Import Data from Excel Workbook
- Group Data By Column
- Split Column By Delimiter into Columns
- Split Column By Delimiter into Rows
- Format Text Column
- Extract Characters from Text
- Merge Columns into One Column
- Fill In Missing Data
- Transpose Table
- Pivot and Unpivot Columns Calculating with Power Query
- Extract Characters to New Column
- Merge Columns into a New Column
- Perform Math Operations
- Calculate Age From DOB
- Calculate No Of Days Between Two Dates
- Extract Quarter from Dates
- Extract Hour from Time
- Create Column from Examples
- Create Custom Column
- Create Conditional Column Combining Files with Power Query
- Combine Files from A Folder
- Combine Files with Append Query
- Merge Query with Another Query
- Duplicate a Query
This course helps students grow from beginner to proficient software engineer with strong coding fundamentals, real-world project exposure, and best practices in engineering sustainable systems
How the courses are structured to benefit you
For maximum impact we adopt the following strategies
- Polls to test your knowledge during class
- Breakout rooms for class discussion based on exercises
- Chats to get responses to questions asked and for you to ask questions during class sessions
- Test to access your knowledge at the end of the class
- Recorded video for those who missed a class
- Award of certificate of attendance based on your performance in the class and the test
- Opportunity for re-enrolment at half-course fee if it desired to take the course again
- Interactive and highly practical
- Online training in the comfort of your office/house
- Highly interactive student portal
- Flexible training schedule(online, weekend, morning, afternoon, evening etc)
- Personalised(one-on-one) courses
- Periodic Data Analytics BootCamp etc