Track
Data Science
Duration
30 hours
Skill Level
Beginner
Language
English
About this Course
Dive into advanced coding, algorithms, and AI fundamentals. Build smart applications and understand machine learning basics.
Learning Mode: Learn at ALC or at Home
Detailed Course Curriculum
Hands-on module breakdown aligned with MKCL production standards and industry requirements.
- 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
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• 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!
• 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!
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