Basics of Data Analytics and Data Visualisation
Understand foundational analytics concepts and visualize data using basic tools.Â
Understand foundational analytics concepts and visualize data using basic tools.Â
Develop proficiency in creating and enhancing various types of dashboards, including sales performance, expense tracking, and supermarket sales.
Utilize advanced Excel features such as slicers, date range filters, and dynamic data integration to create interactive and insightful dashboards.
Gain expertise in creating and customizing 2D and 3D charts in Excel for better data presentation and visualization.
Learn to optimize sales data visualization using advanced chart types like 100% stacked bar charts and dynamic scatter charts.
Understand and create multidimensional charts such as Pareto charts, histograms, and geographical visualizations.
Perform trend analysis using charts and integrate dynamic target lines, milestone charts, and year-over-year comparisons.
Learn to automate repetitive tasks in Excel using VBA macros to enhance efficiency in dashboard creation and data analysis.
Create automated sales performance and delivery performance dashboards.
Understand the fundamentals of Business Intelligence and its application in optimizing sales, inventory management, and customer experience.
Gain hands-on experience with Power BI to create engaging reports and perform advanced data analysis.
Develop skills in using Power Query for data transformation, including text manipulation, date calculations, and conditional columns.
Merge datasets, clean data, and perform efficient column management in Power BI.
Master the creation of advanced visualizations in Power BI, including map visuals, Sankey charts, and sunburst charts.
Customize and enhance Power BI reports with themes, dynamic titles, filters, and slicers.
Course Features:
Language: English
Track: Data Science
Duration: 60 hours
Level: Beginner
Learning Mode: Learn at ALC or Learn at Home
Jurisdiction: Maharashtra
Certificate of Completion
Fees - 3000/-
Eligibility
Learner should preferably a std. 10th Pass student (Not Compulsory)
It is desirable that Learner should have done MS-CIT Course (Not Compulsory)
Create comprehensive and interactive Excel dashboards for sales performance, expense tracking, and supermarket analytics.
Utilize advanced Excel features such as slicers, filters, and dynamic data integration to enhance dashboard functionality.
Create and customize 2D and 3D charts to effectively visualize data trends and comparisons.
Use advanced chart types like Pareto charts, histograms, and scatter charts to provide deeper insights into data.
Leverage Power BI to create dynamic and visually appealing reports.
Utilize Power Query for efficient data transformation and management, including merging datasets, cleaning data, and applying conditional logic.
Write and implement VBA macros to automate repetitive tasks and streamline data analysis processes in Excel.
Develop automated dashboards for sales and delivery performance monitoring.
Apply advanced visualization techniques to present data clearly and effectively.
Use BI tools to analyze and interpret complex data sets, providing actionable insights for business decisions.
Customize Power BI reports with themes, dynamic titles, and interactive filters to enhance user experience.
Create advanced visualizations such as Sankey charts, map visuals, and sunburst charts to convey information more effectively.
KLiC courses are recognised by Yashwantrao Chavan Maharashtra Open University (YCMOU).
MKCL provides certificate to the KLiC learner after his/her successful course completion.
Yashwantrao Chavan Maharashtra Open University (YCMOU) provides mark sheet to successfully passed KLiC learners (Jurisdiction: Maharashtra).
The academic approach of the courses focuses on the “work-centric” education i.e. begin with work (and not from a book!), derive knowledge from work and apply that knowledge to make the work more wholesome, useful and delightful. The ultimate objective is to empower the Learner to engage in socially useful and productive work. It aims at leading the learner to his/her rewarding career as an employee or entrepreneur as well as development of the community to which s/he belongs. Learning methodology:
Step -1: Learners are given an overview of the course and its connection to life and work.
Step -2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
Step -3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
Step -4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
Step -5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
Step -6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
Step -7: Learners are engaged in appreciation of real-life case studies developed by the experts.
Step -8: Learners are encouraged to proceed from appreciation to imitation of the experts.
Step -9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
Step-10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
Step-11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
Step-12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
Monthly Sales Performance Dashboard
Expense Tracker Update for Supermarket Dashboard
Enhancing Sales Dashboard with Slicers
Enhancing Sales Insights with Date Range Filters
Dynamic Data Integration for Supermarket Dashboard
Supermarket Sales Performance Dashboard
Visualizing Product Performance
Visualizing Supermarket Performance
Enhancing Sales Data Visualization with 100% Stacked Bar Charts in a Supermarket
Optimizing Sales Data Visualization
Enhancing Clarity in Sales Data Visualization
Visualizing Yearly Sales Trends for Three Products Using Excel Charts
Comparing the Effectiveness of 2D vs. 3D Stacked Area Charts for Data Presentation
Customizing Scatter Charts in Excel
Visualizing Sales, Marketing, and Finance Trends with Scatter Charts
Create and Customize Scatter Charts with Straight Lines
Excel Data Visualization Assignment
Creating a Combo Chart in Excel
Sales and Performance Data for Ten Individuals
Creating and Enhancing Dynamic Scatter Charts in Excel
Creating and Enhancing Excel Charts
Visualizing the 80-20 Rule with Excel's Pareto Chart
Create and Customize Histograms for Sales Data Analysis
Create and Customize Geographical Data Visualizations
3D Geographical Mapping in Excel
Interactive Data Point Identification in Excel Scatter Charts
Integrating Dynamic Target Lines in Excel Charts
Create and Customize Data Visualizations for Clarity and Insight
Visualizing Year-Over-Year Changes with Trend Arrows in Excel Charts
Create and Customize Milestone Charts for Project Tracking
Create and Customize Dynamic Pareto Charts
Creating and Understanding Dynamic Pareto Charts in Excel
Creating and Understanding Dynamic Charts in Excel
Create and Customize a Speedometer Chart for Performance Tracking
Creating a Speedometer Chart
Creating and Analysing Excel Charts
Constructing and Customizing a Basic Bullet Chart in Excel
Creating Advanced Charts for Better Visualization
Dynamic Sales Dashboard
Advanced Conditional Formatting in Excel Dashboards
Advanced Dashboard Construction and Data Visualization in Excel
Advanced Dashboard Customization and Visualization
Creating an Interactive Expense Tracking Dashboard
Advanced Dashboard Construction and Optimization in Excel
Building and Customizing an Advanced Dashboard
Explore and Learn Advanced Data Visualization and Dashboard Enhancements in Excel
Creating and Customizing an Expense Tracking Dashboard
Sales & Profit Management Dashboard in Excel
Creating a Sales Dashboard with Advanced Visualizations in Excel
Creating an Interactive Sales Dashboard in Excel with Slicers and Timelines
TechMart Sales Analysis Dashboard
Regional Sales Performance Dashboard
Budget Monitoring Dashboard for Monthly Expenses
Enhancing Sales Performance with Pivot Tables and Slicers
Top Products and Employees Monthly Sales Analysis
Interactive Financial Performance Dashboard for ABC Finance Ltd
Interactive Sales Performance Dashboard for XYZ Retailers
Quarterly Sales Performance Dashboard for an Indian Retail Store
Automating Weekly Sales Report with Excel Macros
Monthly Delivery Performance Dashboard for Logistics Management
Monthly Sales Performance Dashboard for Top FMCG Products
Optimizing SuperMart's Inventory and Sales Strategies Using Power BI
Quarterly Sales Performance Analysis of Product Categories
Regional Sales Performance Analysis for Last Month using Power BI
Analysing Textile Production Volumes Last Quarter Report
Enhancing Sales and Customer Experience with BI at Retail India Pvt Ltd
Introduction to Power BI Desktop & Power Query
Creating Engaging Reports in Power BI
Power Query - Streamline Data Import
Text Manipulation in Excel Using Power Query
Text Transformation in Power BI
Advanced Text Splitting in Power BI
Date Functions in Power Query
Basic Date Calculations in Power Query
Advanced Date Calculations in Power Query
Date Functions, Prefixes and Suffixes, Basic Arithmetic Operations in Power Query
Advanced Operations, Modulo, and Percentage Calculations in Power Query
Math Functions, Rounding, and Number Types in Power Query
Trigonometric Functions and Conditional Columns in Power Query
Custom Column Creation and Conditional Logic in Power Query
Conditional Formatting and Columns in Power Query
Conditional Columns and Comparisons in Power Query and Excel
Using Excel Flash Fill and Functions
Formatting with Flash Fill
Merging and Splitting Text Columns
Merging and Splitting Text Columns in Power Query
Merging Data with Power Query
Using VLOOKUP in Excel and Merging Queries in Power BI
VLOOKUP Challenges and Solutions
VLOOKUP Advanced Techniques
Merging Datasets in Power BI
Efficient Column Management in Power Query
Appending Multiple Excel Sources and Data Sets
Merging and Refreshing Data in Power BI
Data Cleaning and Appending in Power BI
Streamline Tables
Sales Trends Analysis
ales Distribution Analysis by Region
Advanced Visualizations and Clustered Column Charts in Power BI
Advanced Chart Techniques in Power BI
Advanced Visualization Techniques in Power BI
Enhancing Chart Backgrounds and Formatting Lines and Markers
Creating and Enhancing Combo Charts
Working with Power BI Charts and Slicers
Creating and Formatting Charts in Power BI
Customizing Pie Chart Data Labels and Modifying Text in Visuals
Advanced Map Visualizations in Power BI
Working with Maps and Dynamic Chart Titles in Power BI
Implementing Dynamic Titles and Single Selections in Power BI
Advanced Visualization Techniques in Power BI
Creating and Optimizing Map Visuals in Power BI
Enhancing Power BI Reports with Visual Borders and Tooltips
Customizing Canvas in Power BI
Customizing Filters and Themes in Power BI
Enhancing Power BI Reports with Custom Themes
Applying and Customizing Themes in Power BI
Creating Stacked Area Charts
Creating Different Chart Types
Creating Scatter and Waterfall Charts
Creating Gauge Charts and Scrollers
Creating and Understanding Sankey Charts in Power BI
Creating and Customizing Infographic Visualizations and Word Clouds in Power BI
Utilizing Matrices and Tables in Power BI
Designing Tables and Generating Sunburst Charts in Power BI
Utilizing Various Visuals in Power BI
Applying Filters in Power BI
Implementing and Utilizing Filters in Power BI
Implementing and Customizing Text Filters in Power BI
Using Advanced Text Filters and Top N Text Filters in Power BI
Using Date Filters in Power BI
Advanced and Top N Date Filters in Power BI
Applying Number Filters, Value Filters, and Relative Date Filtering in Power BI
Customizing Filters and Using Slicers in Power BI
Managing and Customizing Slicer Selections in Power BI
Designing Order Date Slicers, Utilizing Hierarchy in Slicers, and Customizing Date Formats in Power BI
Utilizing Relative Date Slicers in Power BI