Data Science

Mastering Data Analysis

Learn to collect, clean, analyze, and interpret data for business insights and decision-making.

Mastering Data Analysis
Track Data Science
Duration 90 hours
Skill Level Advanced
Language English

About this Course

Learn to collect, clean, analyze, and interpret data for business insights and decision-making.
Learning Mode: Learn at ALC or at Home

Detailed Course Curriculum

Hands-on module breakdown aligned with MKCL production standards and industry requirements.

  • Fundamental Concepts and Core Principles
  • Practical Hands-on Tools & Applications
  • Real-life Project Work & Assignments
  • Industry Best Practices & Case Studies
  • Assessment & Certification Preparation
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• 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!

Ready to start Mastering Data Analysis?

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MKCL Certified Program

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Course Overview
  • Duration: 90 hours
  • Track: Data Science
  • Skill Level: Advanced
  • Language: English
  • Mode: Learn at ALC or at Home
  • Certificate: Official MKCL
Key Course Highlights:
  • Demonstrate the ability to use Excel 365 as part of the Microsoft 365 suite to collaborate on projects, access documents from anywhere, and utilize cloud-based features for enhanced productivity.
  • Navigate and Utilize Excel Effectively: Exhibit proficiency in navigating the Excel user interface, performing basic operations, and applying formulas and functions for data manipulation.
  • Customize Excel Spreadsheets: Apply custom formats, styles, and layouts to Excel documents, making data more accessible and presentations more professional.
  • Analyse Data with Conditional Formatting: Use conditional formatting to automatically highlight important data points, trends, or outliers, facilitating quicker analysis and insights.
  • Collaborate and Manage Workbooks: Manage Excel workbooks effectively, including sharing and securing data within the Microsoft 365 environment, and leverage Excel’s unique features to enhance collaboration and data analysis.
  • Apply Excel Functions for Data Analysis: Employ a wide array of Excel functions to analyse and interpret complex datasets, facilitating informed decision-making and insightful data analysis.
  • Conduct What-If Data Analysis: Perform What-If Analysis using scenarios and data tables to predict outcomes and make data-driven decisions in various business and research contexts.
  • Design and Customize Excel Charts: Create visually compelling and informative charts using advanced Excel features, customizing them to suit specific data presentation needs.
  • Analyse and Present Data with Pivot Tables and Charts: Construct and customize pivot tables and charts to summarize, analyse, and present large datasets in an accessible and actionable format, including the creation of comprehensive dashboards.
  • Automate Excel Tasks with Macros and VBA: Create macros and write VBA code to automate tasks in Excel, such as managing customer information, handling personal finance data, and modifying entries in a database.
  • Apply DBMS Principles: Understand the basic principles of DBMS and how they apply to data management and storage, enhancing their ability to work with databases effectively.
  • Analyse Data Using Power Pivot: Utilize Power Pivot for complex data analysis, create data models, establish relationships between data sets, and apply DAX formulas to extract actionable insights.
  • Transform Data with Power Query: Use Power Query to efficiently clean, combine, and append data, preparing it for analysis or reporting with enhanced accuracy and relevance.
  • Implement Excel and VBA Automation: Develop automation solutions in Excel using VBA, improving workflow efficiency, data analysis, and report generation processes.
  • Create Business Intelligence Solutions with Power BI: Design and implement interactive reports and dashboards in Power BI, facilitating advanced data visualization and business intelligence capabilities.
  • Design Effective Reports with Google Looker Studio: Create, manage, and share interactive reports using Google Looker Studio, applying best practices for effective data visualization and report design.
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