Shape Your Career with Diti Technologies: Excel in Data Analytics

Dive into real-world datasets, mastering analytics with hands-on exercises tailored to industry needs.
Top Industry Trainers: Learn from analytics experts who bring years of experience and real-life case studies to the classroom.
In-Demand Tools Mastery: Get proficient in Excel, R, SQL, and visualization tools like Power BI to solve business problems.
Placement Boost: Benefit from dedicated career coaching, job referrals, and interview prep to kickstart your analytics career.

Explore Our World Class Courses

Python

Your Roadmap to A Successful Data Science Career.

Data Analytics

Your Roadmap to A Successful Data Science Career.

Snow Flake

Your Roadmap to A Successful Data Science Career.

Data Science

Your Roadmap to A Successful Data Science Career.

S/4 Hana

Your Roadmap to A Successful Data Science Career.

Course Highlights

200+ Hours of Classroom & Online Training

18+ Real-Life Industry Projects

3 Hands-on Capstone Projects

Job Placement Assistance

Weekend & Weekday Batches

1500+ Learners

Data Analytics Training at Diti Technologies

Welcome to Diti Technologies, the premier training institute for Data Analytics in India. Our goal is to empower individuals with the skills and knowledge needed to excel in the dynamic field of data analytics. With years of experience in delivering top-notch training, we offer a comprehensive, practical, and job-focused Data Analytics course tailored to meet the needs of today’s data-driven world. Whether you’re a beginner or a professional looking to upskill, our program is designed to help you succeed.

Course Curriculum

Our Data Analytics course covers everything you need to become a proficient data analyst. The curriculum is updated regularly to reflect the latest industry trends and tools. Here’s a glimpse of what you’ll learn:

Module 1 : Introduction to Data Analytics

What is Data Analytics?
- Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
- Data Science vs. Data Analytics
- Applications of Data Analytics in various industries
- Data Analytics process/lifecycle

Module 2 : Data Collection and Cleaning

Descriptive statistics
Data visualization
- Bar charts, histograms, scatter plots, box plots
Correlation analysis
Outlier detection

Module 3: Tools for Data Analytics

- Excel
  - Formulas, Pivot Tables, Charts
- SQL
  - Basics: SELECT, WHERE, JOIN, GROUP BY
  - Aggregations and Subqueries
- Python or R
  - Data types, variables, control structures
  - Libraries: pandas, numpy, matplotlib, seaborn, scikit-learn
- Jupyter Notebook or RStudio

Module 4: Exploratory Data Analysis (EDA)

Descriptive statistics

Data visualization

Bar charts, histograms, scatter plots, box plots

- - Correlation analysis
  - Outlier detection

Module 5: Statistical Analysis

Probability basics
Hypothesis testing
Confidence intervals
ANOVA and Chi-square tests
Regression analysis

Module 6: Data Visualization & Reporting

- Best practices in visualization
- Tools: Tableau, Power BI, Google Data Studio
- Dashboard creation
- Storytelling with data

Module 7: Introduction to Machine Learning (Optional/Advanced)

- - Supervised vs. Unsupervised Learning
  - Algorithms: Linear Regression, Decision Trees, Clustering
  - Model Evaluation: Accuracy, Precision, Recall, F1 Score

Module 8: Capstone Project

- - - Real-world dataset analysis
    - Problem statement definition
    - Full-cycle data analytics process: data collection → cleaning → analysis → visualization → report

Module 8: Capstone Project

- - - Real-world dataset analysis
    - Problem statement definition
    - Full-cycle data analytics process: data collection → cleaning → analysis → visualization → report

Bonus Topics

- - - - Big Data and Hadoop Basics
      - Introduction to Cloud Platforms (AWS, GCP, Azure)
      - Data Ethics and Privacy

Data Analytics Training at Diti Technologies

Our Training Methodology

At Diti Technologies, we believe in learning by doing. Our training methodology combines theoretical knowledge with practical application to ensure you’re job-ready. Here’s how we make learning effective:

Course Curriculum

Interactive Classes: Engage in live sessions with trainers and peers for a collaborative learning experience.
Real-World Projects: Work on projects that mimic real industry scenarios to build confidence and expertise.
Regular Assessments: Test your knowledge through quizzes, assignments, and mock interviews.
Mentorship: Get personalized guidance from trainers to address your doubts and career goals.
Capstone Project: Complete a final project to demonstrate your skills and add to your portfolio.