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engitech@oceanthemes.net

+1 -800-456-478-23

Software Testing Training Programs
Data & Analytics Training Programs

Build Data Skills That Drive Real Business Decisions and AI Solutions

Our Data & Analytics programs are designed to help learners understand how to work with data, analyze patterns, build dashboards, automate workflows, and develop machine learning models. These programs are suitable for freshers, working professionals, and individuals transitioning from non-IT to IT roles. Each program includes practical datasets, real-time project work, and market-ready portfolio development.

Practical training with real business case datasets
Structured path from fundamentals to advanced analytics & AI
Portfolio building, interview preparation, and placement assistancee
Selenium Testing Course
API Testing Course
Mobile Testing Course
Performance Testing Course
Security Testing Course

Why Choose Our Data & Analytics Training?

Our training builds strong foundational skills and hands-on analytical capability using tools widely adopted in the industry.

Project Based

Learn with real datasets and business use cases.

Expert Trainers

Mentorship from Data Analysts & Data Engineers.

Career Support

Resume, portfolio, LinkedIn & interview prep included.

Job Ready Skills

Build dashboards, reports, automation, and ML models.

PROGRAMS UNDER DATA & ANALYTICS

PROGRAMS UNDER DATA & ANALYTICS

Structured training paths to move from data fundamentals to advanced analytics and AI.

SQL / MySQL / Oracle / PostgreSQL

3–4 Weeks

Learn how to store, retrieve, and manipulate data using SQL across enterprise-level databases.

Key Topics

  • SQL Queries & Filtering
  • Joins & Subqueries
  • Aggregations & Functions
  • Stored Procedures & Views
  • Data Validation Techniques

MongoDB

2–4 Weeks

Hands-on experience with NoSQL databases used for modern applications and analytics workloads.

Key Topics

  • NoSQL Concepts & JSON Data
  • MongoDB CRUD Operations
  • Indexing & Aggregation
  • Schema Design
  • Connecting MongoDB with Applications

Data Engineering with Python & SQL

6–8 Weeks

Build data pipelines, transform datasets, automate tasks and prepare data for analytics and ML systems.

Key Topics

  • Python for Data Processing
  • ETL Pipeline Design
  • Database Integration
  • File & Cloud Data Handling
  • Scheduling & Automation Workflows

Big Data (Hadoop, Spark)

6–10 Weeks

Process and analyze large-scale datasets using industry-leading Big Data frameworks.

Key Topics

  • Hadoop Ecosystem (HDFS, MapReduce)
  • Spark RDDs & DataFrames
  • Distributed Data Processing
  • Hive & Spark SQL
  • Cluster Deployment & Tuning Basics

Data Analyst

6–8 Weeks

Become job-ready with Excel, SQL, Power BI/Tableau, and reporting skills for real business insights.

Key Topics

  • Excel & Data Cleaning
  • SQL for Analysis
  • Power BI / Tableau Dashboards
  • Business Metrics & Reporting
  • Storytelling with Data

Data Science

10–14 Weeks

Learn data processing, machine learning, predictive modeling, and deployment techniques.

Key Topics

  • Python for Data Science
  • Statistics & Data Processing
  • Machine Learning Models
  • Model Evaluation & Tuning
  • End-to-End ML Projects

Business Analyst

4–6 Weeks

Analyze business processes, gather requirements, and support product/project teams.

Key Topics

  • SDLC & Requirement Gathering
  • BRD & FRD Documentation
  • Process Mapping & Use Cases
  • Agile/Scrum Fundamentals
  • Tools: Jira / Confluence

Artificial Intelligence

8–12 Weeks

Build AI systems and learn how neural networks and deep learning models work.

Key Topics

  • Neural Networks
  • Deep Learning Fundamentals
  • TensorFlow / PyTorch Basics
  • Image & Text AI Models
  • Model Deployment Concepts

Machine Learning

6–8 Weeks

Learn supervised & unsupervised algorithms, data prep, model evaluation and pipelines.

Key Topics

  • Regression & Classification
  • Clustering & Feature Engineering
  • Model Evaluation Metrics
  • Hyperparameter Tuning
  • ML Pipelines