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Karmick Institute curriculum module 1

Module 1: Data Foundations & Excel Mastery

Module 1 begins

Duration: 0.1 Month

Data Foundations & Excel Mastery

Get a quick overview of SAP, Salesforce, and AWS while learning advanced Excel techniques.

  • Introduction to career roles, industry tools, and the data lifecycle.
  • Understanding structured vs. unstructured data and primary vs. secondary sources.
  • SAP, Salesforce, ZOHO, ODDO, AWS, AZURE, GCP brief.
  • Hands-on training in If-Statement, sorting, filtering, formulas, PivotTables, and advanced lookups (VLOOKUP/HLOOKUP/XLOOKUP), Power Query, Dashboard Development.

Module concludes

In this module, students explore the data landscape, from career roles and the data lifecycle to the nuances of structured vs. unstructured information. You will gain a brief overview of industry powerhouses like SAP, Salesforce, and AWS, while mastering high-level Excel techniques. Through hands-on training in Power Query, XLOOKUP, and Dashboard Development, you will build the technical foundation necessary to transform raw data into actionable insights.

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Karmick Institute curriculum module 3

Module 2: Statistics & SQL for Databases

Module 2 begins

Duration: 0.1 Month

Understanding Statistics & SQL for Databases

Karmick Institute methodology

Learn to analyze data using key statistical measures, distributions, and visualizations.
Master probability concepts and gain hands-on skills in SQL, from basic queries to advanced operations like joins and subqueries.

  • Learn to interpret data using Mean, Median, Mode and Variance, Standard Deviation, Distribution, Graphical Plotting, etc.
  • Master fundamental concepts of Probability Distribution, including the Normal Distribution.
  • Query and manipulate data using basic SQL commands DDL, DML, DQL, Clauses (WHERE, GROUP BY, HAVING, ORDER BY) through to complex operations (JOINs), Sub-Query, Views, and Stored Procedures.

Module concludes

In this module, students will master the core mathematical and technical pillars of data science. They’ll learn to interpret datasets using descriptive statistics—including measures of central tendency and dispersion—while exploring probability distributions like the Normal Distribution. This module also provides intensive training in SQL, moving from basic data manipulation and filtering to advanced operations such as complex JOINs, subqueries, and stored procedures, equipping students to efficiently extract and manage data from relational databases.

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Karmick Institute curriculum module 2

Module 3: Python Programming for Analytics

Module 3 begins

Duration: 0.1 Months

Learn Python, Numpy, and Pandas libraries for analysis.

  • Core Python fundamentals, including variables, data types, loops, conditionals, and functions.
  • Practical experience using the Date Time, Numpy, and Pandas libraries for analysis.
  • Data Cleaning: Missing data, outliers.
  • Techniques for handling missing data and outliers, followed by creating visual insights with Matplotlib and Seaborn.

Module concludes

In this module, students will master Python programming for data analytics. They’ll build a strong foundation in core syntax, variables, and functions before diving into powerful libraries like NumPy and Pandas for high-performance data manipulation. This module emphasises practical data cleaning—addressing missing values and outliers—and concludes with transforming raw datasets into compelling visual stories using Matplotlib and Seaborn, equipping students with the essential coding skills for advanced analytical workflows.

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