Diploma in Data Ananytics

A Diploma in Data Analytics equips learners with skills in data collection, processing, and interpretation for informed decision-making. The course covers SQL, Python, Excel, Power BI, and machine learning fundamentals. Students learn data visualization, statistical analysis, and predictive modeling. It is ideal for aspiring data analysts, business professionals, and IT specialists. The diploma enhances career opportunities in finance, marketing, healthcare, and technology industries.

Fundamentals of Data Analytics

Introduction to Data Analytics

Overview of Data Analytics
Importance of Data in Decision-Making
Types of Data: Structured vs. Unstructured
Data Analytics Workflow

Excel for Data Analysis

Data Cleaning and Formatting
Essential Functions (VLOOKUP, HLOOKUP, IF, CONCATENATE, etc.)
Pivot Tables and Pivot Charts
Conditional Formatting
Creating Visualizations: Charts and Graphs

Basics of Databases

Introduction to Databases and Data Storage
Basics of SQL:
- Writing Basic SQL Queries
- Filtering and Sorting Data
- Aggregating Data with COUNT, SUM, AVG, etc.

Data Analytics Tools and Techniques

Advanced Excel for Data Analysis

Advanced Formulas and Functions (INDEX-MATCH, Data Validation)
Data Consolidation and Advanced Pivot Techniques
Automation with Macros (Introduction to VBA Basics)

Introduction to Power BI/Tableau

Basics of Power BI/Tableau Interfaces
Connecting to Data Sources (Excel, SQL)
Building Dashboards and Reports
Creating Interactive Visualizations

Statistics for Data Analysis

Descriptive Statistics: Mean, Median, Mode, Variance, Standard Deviation
Introduction to Correlation and Regression Analysis
Basics of Probability in Analytics

Applications and Capstone Project

Case Studies in Data Analytics

Industry Applications:
- Sales and Marketing Analytics
- Financial Analysis
- Customer Behavior Analysis

Final Project

Hands-on Project:
- Choose a dataset (e.g., Sales, Finance, or Retail).
- Analyze the data using Excel and SQL.
- Create Visualizations with Power BI/Tableau.
- Present a Dashboard/Report with Insights.

Career Guidance

Resume Writing for Data Analyst Roles
Preparing for Data-Related Interviews
Freelance Opportunities and Platforms for Data Analysts

Assessment Structure

Monthly Quizzes: To test theoretical knowledge.
Final Capstone Project: Practical implementation and presentation of analytics skills.

Key Features of Courses

Free Demo Session

Enjoy a free demo session in both classroom and online with a live instructor. This helps you understand our instructors and the atmosphere of our institute. To attend a demo session, call us or fill out the inquiry form or email us at info@lakshayainstitute.com.

Pay Fee in Installments

We offer an easy and hassle-free installment process for course fees. No extra charges or interest fees—discuss your installments during registration and pursue your dreams.

Limited Batch Size

We focus on quality training with limited batch sizes to ensure personal attention, better results, enhanced learning, and greater focus on concepts.

Highly Professional Faculty

Our instructors are passionate and highly experienced, providing a high-quality learning experience with a focus on student achievement and outcomes.

1 Year Free Classes Retake

We offer the opportunity to retake classes at no cost for up to a year, giving you the flexibility to enhance your understanding and knowledge.

Special Classes

In addition to regular classes, we provide special classes to further reinforce concepts and provide a deeper understanding of the software, languages, and tools.