SQL Course

"Accelerate Your Career with Our Job Interview Guarantee. Open Doors to Limitless Opportunities Until You Achieve Your Dream Role."

Minimum Eligibility to Join
  • Engg. (All streams), BCA, BSC (Phys, Che, Maths, Stats, CS, IT), BBA, BCOM with Maths, BA Eco with Maths, MCA, MSC(IT), MBA, UGFY
  • X, XII and Grad ≥ 50%
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100 %

Job Assistance

10+

Years of Average Experience

120

Successful Projects Delivered

10K

Happy Students
Overview

SQL Course Overview

SQL Course is the perfect place to start if you are new to the world of database programming or database administration. In addition to learning basic SQL commands and syntax - such as how to insert, update, and delete information from tables - users will be able to practice those same commands through our free online SQL interpreter. Enter SQL commands to receive immediate results and experiment to better understand how database concepts such as table drops and table selects work.

If you are already familiar with the basics of SQL, you can still use this database course as a refresher and practice common SQL commands and statements.

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Mentorship
1 : 1 Mentorship

Personalized guidance between a mentor and mentee for focused skill development and learning support.

Live Projects
Live Projects

Ongoing real-world projects with deadlines, client-driven, hands-on, and collaborative for practical learning experiences.

Practical Experience
Practical Experience

Hands-on application of knowledge and skills in real-world situations, enhancing learning and expertise development.

Learn with

World-Class Curriculum

Mastering MS Excel and Concepts of Programing

This module helps you take your first steps towards becoming a successful Data Scientist. You will be introduced to the fundamentals of MS Excel, Learn about formatting concepts, formulas and Statistical Analysis using Excel, Learn the meaning and utility of algorithms, loops, and flow charts, Understand how computers, operating systems, and the World Wide Web works.

Topics Covered

  • Discovering MS Excel
  • Understanding Programming Basics
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Discovering Data Analysis

In this module you will learn how to store, manipulate, and retrieve the data along with the advanced visualisation techniques using Matplotlib, Seaborn and Plotly. You will master converting the raw data into high order operations and perform analysis using NumPy and Pandas.

Topics Covered

  • Discovering SQL Basics and mastering Data Analysis
  • Understanding Python for DS - Installation, Building Blocks, Strings and Data Structures
  • Grasping Python for DS - Functions, Modules, Files, Lambda functions, Errors and OOPs
  • Discerning Probability and Statistics - Descriptive Statistics, Distributions and Probability Theory
  • Mastering Probability and Statistics - Hypothesis Testing, Regressions and ANOVA
  • Grasping Data Preprocessing - Numpy, Pandas, RegEx
  • Discovering Data Preprocessing - Web Scraping and EDA
  • Mastering NoSQL
  • Discerning Data Visualization with Tableau
Understanding Machine Learning with Python

During this module you'll learn about linear algebra and calculus and their applications in Data Science, You'll also get a comprehensive understanding of Machine Learning, Linear Regression, Naïve Bayes and Support Vector Machine along with understanding the difference between Bagging and Boosting in Machine Learning.

Topics Covered

  • Grasping Machine Learning - Math for DS
  • Discovering Machine Learning - Linear Regression
  • Understanding Regularization Techniques - LASSO and RIDGE
  • Introduction to Classification and Logistic Regression
  • Discovering KNN, Naive Bayes and SVM
  • Mastering Decision Tree, Random Forest and Boosting
  • Grasping Unsupervised Learning - Clustering and PCA
Data Engineering

Discover the various elements of the Hadoop Ecosystem and how they can be used to solve Big Data problems. Understand how Relational Data Processing works in Spark and perform real-time Stream Processing using Apache Spark and with Amazon Kinesis. You will then get a thorough understanding of Spark SQL and Understand how to deploy Machine Learning models to make inferences using Amazon SageMaker.

Topic Covered

  • Grasping Big Data Processing with Hadoop
  • Discovering Streaming Big Data with Spark
  • Mastering Streaming Big Data with Spark
  • Mastering Machine Learning Model Deployment on Cloud

Tools Covered

  • Hadoop
  • Spark
  • AWS
NLP and Deep Learning

This module strengthen your fundamentals of Natural Language Processing (NLP) and provides the hands-on experience with TextBlob and then Spacy. You will be performing sentimental analysis and creating chatbots and gain in depth understanding of Deep Learning, TensorFlow, and how Neural Networks work. You will also gain the exposure of understanding the application of AI in the real world.

Topics Covered

  • Discovering NLP - Feature Extraction, Texblob, Spacy, Text Classification
  • Grasping NLP - Sentiment Analysis and Chatbots
  • Discerning Deep Learning with Keras and Tensorflow - Keras, Tensorflow and CNN
  • Mastering Deep Learning with Keras and TensorFlow, Adv CNNs, NLP and GANs

Tools Covered

  • Keras
  • TensorFlow
Data Structures and Algorithms, with Career Support

Explore the fundamental techniques of Algorithm Analysis, Linked Lists and Binary Trees. You will also learn about the Advanced Data Structures and how to analyze the Asymptotic Performance of Algorithms. Learn Algorithmic Design Paradigms and Methods of Analysis and Microservices Architecture and its Implications.

Topics Covered

  • Basic Techniques of Algorithm Analysis
  • Linked Lists and Binary Trees
  • Advanced Data Structures
  • Analyze the Asymptotic Performance of Algorithms
  • Algorithmic Design Paradigms and Methods of Analysis
  • Microservices Architecture and its Implications
CERTIFICATION

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  • Certification recognized in 300+ companies
  • Prove that your skills are certified to employers
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What Sets Us Apart

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Project-Based Learning
Hands-on, practical exercises designed to enhance your learning experience and reinforce the concepts covered in the course. These projects serve as crucial components in the learning journey, as they allow you to apply the knowledge and skills gained in real-world scenarios. Eg: Wikipedia Scraper, PubG Predictive Analysis, Spell Checker & many more.
24 X 7 Doubt Support
24 X 7 Doubt Support
A dedicated service provided with this course for free to help you overcome any doubt, at any time, and anywhere. So unleash your coding potential with confidence, as our Doubt Support service stands by your side!

Benefits of this service:

  • -Access to Expert TAs
  • Prompt Response
  • Tailored Guidance
  • :1 Video & On-Call Support & Much More

Now code with confidence, triumph over doubts, and level up your skills!

Recognised Certification
Recognised Certification

Boost your coding street cred! Excel in the tech landscape with our comprehensive course and prestigious certificates that open doors to endless opportunities.

Perks of our certificates:
  • Credible Validation
  • Continuous Relevance
  • Helps in Career Advancement
  • Lifetime Validity

So get ready to experience the transformative power of our certificate and showcase your excellence!

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Expert Mentors
With a passion for teaching, our mentor(s) sessions will provide tailored guidance to all the aspiring coders. Launch a successful tech career with their structured learning methods.

Why our mentors are the best:

  • Industry Expertise
  • Interactive Teaching
  • Student Friendly Approach

Gain the invaluable expertise they have to offer and become a proficient coder!

Data Science

Course Curriculum

Day 1-2: Introduction to SQL

  • What is SQL?
  • Relational Database Concepts
  • Overview of SQL databases (MySQL, PostgreSQL, SQL Server, SQLite)
  • Setting up a SQL environment

Day 3-4: Basic SQL Queries

  • SELECT statements
  • Filtering data using WHERE clause
  • Sorting data with ORDER BY
  • Using LIMIT for pagination

Day 5-7: Basic Data Operations

  • INSERT INTO statements
  • UPDATE statements
  • DELETE statements
  • Basic functions: COUNT, SUM, AVG, MIN, MAX

Day 1-2: Working with Multiple Tables

  • Understanding JOINs: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
  • Using aliases for better readability
  • Combining results with UNION and UNION ALL

Day 3-4: Grouping and Aggregating Data

  • GROUP BY clause
  • HAVING clause
  • Aggregate functions: COUNT, SUM, AVG, MIN, MAX

Day 5-7: Subqueries and Nested Queries

  • Introduction to subqueries
  • Using subqueries in SELECT, FROM, and WHERE clauses
  • Correlated subqueries

Day 1-2: Advanced Functions and Operators

  • String functions: CONCAT, SUBSTRING, REPLACE
  • Date functions: NOW, DATE_FORMAT, DATE_ADD, DATE_SUB
  • Conditional statements: CASE, IFNULL, COALESCE

Day 3-4: Indexing and Optimization

  • Introduction to transactions
  • COMMIT and ROLLBACK statements
  • ACID properties
  • Managing concurrency with locks

Day 5-7: Transactions and Concurrency

  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)
  • Kernel PCA

Day 1-2: Stored Procedures and Functions

  • Introduction to stored procedures
  • Creating and calling stored procedures
  • Creating and using functions
  • Advantages of stored procedures and functions

Day 3-4: Triggers and Views

  • Introduction to triggers
  • Creating and managing triggers
  • Using views for data abstraction
  • Managing and updating views

Day 5-7: Capstone Project

  • Project selection and database design
  • Creating and populating tables
  • Writing and optimizing queries for the project
  • Implementing advanced features (stored procedures, triggers, views)
  • Presentation and reporting

Course Duration Fee & Timing

Course Duration

Certificate Course in Data Science

1 Month

Course Fee

Total Course fee including GST

$1,999

Next cohort Starts

6th Aug, 2024

9:00 PM

Roles After This Course

Data Analyst

Avg. Salary: 14.4 LPA*

Data Scientist

Avg. Salary: 11.1 LPA*

Database Developers

Avg. Salary: 20.3 LPA*

Database Administrator

Avg. Salary: 11.6 LPA*

Data Modeler & More

Request a call back

Our experienced staff will call at a time that suits you, up to five working days in advance.

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Have a Doubt?

Frequently Asked Question

Proficiency in SQL allows data analysts to efficiently retrieve and manipulate large datasets from databases, perform complex queries, and generate valuable insights, making them more effective and competitive in their roles.

Entry-level jobs for SQL-skilled individuals include roles like junior data analyst, SQL developer, database assistant, business intelligence analyst, and reporting analyst.

SQL is crucial for BI roles as it enables professionals to query databases, create reports, and analyze data trends, which are essential for making data-driven business decisions and developing strategic insights.

Advanced SQL skills such as writing complex joins, using window functions, creating stored procedures, and optimizing query performance can set you apart in the job market by demonstrating a deeper understanding of database management.

SQL certifications from recognized institutions validate your skills and knowledge, making you a more credible and attractive candidate to employers, and can significantly improve your chances of securing an SQL-related job.