Data Science Engineering with Data Analytics

Data Science Engineering is a field that focuses on the application of data science principles and techniques to solve complex problems and make data-driven decisions. It combines expertise in mathematics, statistics, computer science, domain knowledge, and data analysis to extract valuable insights from data

Key Highlights

Training from Industrial Experts

Interactive Workshops

Duration - 32 Weeks + 4 Weeks Project/ 480 Hours

320 Hrs Instructor Lead Training

160 Hrs Projects and Exercises

Curriculum

Flutter

  • Introduction to Flutter
  • Dart Programming Language
  • Flutter Widgets
  • Advanced UI and Theming
  • State Management
  • Navigation and Routing
  • Networking and API Integration
  • Local Data Storage
  • Working with Device Features
  • Advanced Topics
  • Testing and Debugging Techniques
  • Deployment and Publishing
  • Final Project

  • Introduction to Excel for Business Analysis
  • Data Management in Excel
  • Excel Functions for Business Analysis
  • Data Visualization and Formatting
  • Advanced Data Analysis with PivotTables
  • Introduction to Data Analysis with Solver
  • Introduction to Power Query and Power Pivot
  • Advanced Excel Functions for Business Analysis
  • Dashboard Creation and Reporting
  • Data Validation and Automation with Macros and VBA
  • Advanced Data Import and Cleaning
  • Data Analysis Case Studies

Power BI

  • Introduction to Power BI
  • Data Import and Transformation
  • Data Modeling in Power BI
  • Data Visualization
  • Advanced Data Visualization
  • Advanced DAX Functions
  • Data Insights and Analytics
  • Data Integration and Power Query Advanced
  • Data Security and Sharing
  • Data Governance and Best Practices
  • Advanced Topics & Projects

Database Management System

  • Fundamentals of Database Management System
  • Data Modeling and Database Design
  • Introduction to SQL
  • SQL Statements
  • Aggregate Data Using the Group Functions
  • Working with SQL: Joins
  • Working with Views and Index
  • Transaction Management and Concurrency Control
  • Data Security and Privacy
  • Introduction to NoSQL Databases
  • Document Databases
  • NoSQL Data Integration and ETL
  • NoSQL Database Administration
  • Case Studies and Practical Projects

  • Introduction to Tableau
  • Data Preparation
  • Basic Visualization
  • Intermediate Visualization
  • Advanced Visualization Techniques
  • Data Blending and Cross-database Joins
  • Calculations and Expressions
  • Parameters and Dashboards
  • Advanced Analytics with Tableau
  • Data Sharing and Collaboration
  • Data Security and Governance
  • Performance Optimization
  • Project

  • Introduction to Python for Data Analysis
  • Writing and running Python scripts
  • Data Manipulation with pandas
  • Data Visualization with Matplotlib and Seaborn
  • Exploratory Data Analysis (EDA)
  • Data Cleaning and Transformation
  • Introduction to NumPy
  • Introduction to SQL
  • Time Series Analysis
  • Statistical Analysis with scipy and statsmodels
  • Machine Learning Basics
  • Data Visualization with Plotly and Dash
  • Project

  • Introduction to R
  • Data Import and Manipulation
  • Data Visualization with ggplot2
  • Exploratory Data Analysis (EDA)
  • Data Transformation and Reshaping
  • Time Series Analysis
  • Statistical Analysis
  • Machine Learning with caret
  • Text Mining and Natural Language Processing (NLP)
  • Interactive Data Visualization with Shiny
  • Data Import and Export with SQL
  • Project

DBMS using SQL(MySQL) & NoSQL (MongoDB)

  • Introduction to Career Development and Soft Skills in IT
  • Self-Assessment and Personal Branding
  • Effective Resume and Cover Letter Writing
  • Online Job Search and Networking
  • Interview Preparation
  • Communication Skills in Interviews
  • Behavioral Interview Techniques
  • Problem Solving and Critical Thinking
  • Leadership and Influence
  • Teamwork and Collaboration
  • Time Management and Organization

Career Opportunities

  • Data Scientist
  • Data Analyst
  • Market Research Analyst
  • Data Engineer
  • Data Architect
  • Database Administrator (DBA)
  • SQL Developer