Data Analytics and Data Engineering

Turn data into decisions, master the tools to uncover insights that drive impact.

Course Highlights

Placement-Ready Curriculum:

Designed with a focus on what companies actually test—technical proficiency, tool expertise, and problem-solving with real datasets. Hands-On Project Experience:

Apply your skills to multiple real-world mini-projects and case studies that simulate actual business and data engineering problems. Interview-Focused Training:

Includes mock interviews, resume building, and personalized feedback sessions to prepare you for technical and HR interviews. Capstone Project for Portfolio Building:

Complete a final capstone project to showcase your full-stack data capabilities — ideal for LinkedIn, resumes, and interviews. Guidance from Industry Professionals:

Learn from mentors and trainers who’ve worked in the data field and understand what companies look for in candidates. Soft Skills & Communication Emphasis:

Improve presentation and communication skills to confidently explain technical work to both technical and non-technical stakeholders.

Are you ready to kickstart your career in the world of Data?

Our comprehensive Data Analytics and Data Engineering foundations course is tailored specifically for fresh graduates seeking industry-ready skills. Through real-time practice and hands-on experience, you will gain the skills and confidence needed to excel in the dynamic world of data.

What You Will Learn

  • Data Cleaning & Analysis with Excel and Statistics. Learn to clean, transform, and analyse raw datasets using Excel tools, pivot tables, and statistical methods for actionable insights.
  • Data Extraction & Manipulation with SQL. Master SQL to efficiently extract, filter, and join data from relational databases for structured analysis
  • Data Visualization with Power BI. Create insightful and interactive dashboards using Power BI, turning raw data into clear visual stories and business intelligence
  • Data Automation & Scripting with Python. Use Python along with libraries like Pandas, NumPy, and Matplotlib to automate data cleaning, analysis, and visualization tasks efficiently.
  • Introduction to Machine Learning. Understand foundational ML concepts like supervised and unsupervised learning, and build simple models using real-world datasets in Python.
  • Cloud Computing for Scalable Data Solutions. Explore cloud computing basics, including storage, computing, and deployment models, to understand how data workflows scale in modern architectures.
  • Big Data Processing with Hadoop & PySpark Work with large datasets using Hadoop’s HDFS and process data in parallel using PySpark for fast, distributed data computation.
  • Data Warehousing with Snowflake Learn to store, manage, and query large-scale structured data using Snowflake’s high-performance, cloud-native data warehousing platform.
  • Workflow Automation & Containerization Automate data workflows with Apache Airflow, handle real-time data streams using Kafka, and containerize applications with Docker for reliable deployment.

Why Choose This Course?

  • Industry relevant skill
  • Focus on Real-World Business Scenarios
  • Curriculum Aligned with Industry Demand
  • Company wise interview preparation
  • Guidance Seminars by IIT & NIT Alumni & Working Professionals
  • Hands-on, project-based learning
  • 1 on 1 Mentorship

Inspired by Skill India Mission

Our courses are inspired by the Skill India Mission, aiming to empower professionals with industry-relevant skills — bridging the gap between education and employment.