Data Engineering - Step by step course

Data Engineering - Step by step

Embark on a transformative journey into the world of data with our Data Engineering course. Led by seasoned industry professionals with extensive experience, this comprehensive course equips you with the essential skills and knowledge to navigate the dynamic landscape of data science and database management where in you will learn SQL, Python, Numpy, Pandas, and a lot lot more.

Overview
Curriculum

Course Description

Immerse yourself in a learning experience that seamlessly combines theoretical knowledge with hands-on projects. By the end of this course, you will possess a strong foundation in data science, SQL, and Python, empowering you to tackle real-world challenges and embark on a fulfilling career in data-driven domains.

The curriculum seamlessly blends theoretical understanding with hands-on practice in a series of immersive projects and exercises, allowing students to master the intricacies of data science and database fundamentals. Through these engaging activities, you will develop a profound ability to navigate real-world data challenges, employing industry-standard tools and methodologies. Gain not only theoretical expertise but also the practical skills necessary to excel in the dynamic and evolving fields of data science and database management

Upon successful completion of this course, students will possess a solid foundation in Data Engineering. They will have the expertise to design user-friendly interfaces and optimize user experiences. Moreover, through their practical exposure to real-world design challenges, they'll be well-prepared for entry-level roles in the dynamic field of Data Science and Data Engineering.

Learn From Industry Experts Learning from the best in the industry ensures you receive cutting-edge knowledge, real-world insights, and industry best practices, giving you a competitive advantage in your career.
Get Tech Certified Upon successful completion of our course, you'll receive a certification endorsed by renowned industry professionals.
Open Doors to Dream Opportunities Studying from top experts and obtaining a certification can boost your confidence and open up exciting job prospects and freelance opportunities, turning your designing ambitions into reality.

What is SQL

Use cases of SQL

Understanding databases

Types of databases: Relational, Non-Relational

Difference between a database

Data warehouse and data marts

What is Normalization

What are entities

Introduction of ER diagrams and Types of relationships: one-to-one, one-to-many, many-to-many.

Data Models and Keys

Conceptual, logical and physical data models

Data Definition Language

Datatypes

Data Manipulation Language

Clauses, and Types of Constraints

Types of Join: Inner Join, Left Join, Right Join, Full Outer Join, Self Join

Arithmetic Operators

Comparison Operators

Compound Operators

Logical Operators

String Operators

Set Operators: UNION, UNION ALL, INTERSECT, EXCEPT

Scalar Functions: len(), ucase(), lcase(), min(), substr(), round(), now()

Aggregation Functions: AVG(), COUNT(), MAX(), MIN(), SUM(), FIRST(), LAST()

What are subquery and Type of Subquery

What are Window Functions and Types of Windows Function

What are Common Table Expression (CTE)

What is Schema and What are types of Schema

Python Data Types

Arithmetic operators

Indexing, Conditional and Logical operators

Loops and Function

Object Oriented programming

Modules, Packages and Python standard libraries

Introduction to Numpy and pandas

Numpy packages and why do we use it

Numpy Datatypes

Indexing in Numpy

Slicing, Stepwise Slicing

Conditional Slicing

Introduction Pandas Series

Working with Attributes in Python

Using Index in Pandas

Working with Indices in Pandas

Introduction to Pandas DataFrame

Types of File Formats

Read File, Write File, Open file

Final Project

Candidate Assessment

Resume Enhancement

Mock Interviews

Job Matching

Interview Scheduling

Feedback and Improvement

Guaranteed Placements