Master In SQL
Master SQL (Structured Query Language) — the standard language for managing and manipulating databases. This course is designed for beginners and professionals who want to learn how to extract insights from data, build complex queries, and manage relational databases efficiently.
What you'll learn
- Connection, Navigation, Data Sources
- Data Extraction, Data Prep
- Data Pre-Processing
- Exploratory Data Analytics
- Data Wrangling
- Data Cleansing
- Data Munging
- Statistics For Business Analytics
- Data Analytics
- Strategic Decisions Making
- Data Visualization
- Python for everyone
What all topics we will cover in Data Analytics Course in Palin Analytics
Dive deep into the world of data analytics with a well-rounded curriculum covering statistical analysis, data visualization. Learn to make informed decisions and drive business strategies based on data-driven insights.
In this course we will learn python programming, statistics and analytics used for data analytics. We will learn data wrangling, data cleansing as well as data visualization using popular Python libraries like Numpy, Pandas, Matplotlib, and seaborn. In this course you will get to learn apply exploratory data analytics the essential part of data analytics.
By the end of this you will be able to extract, read and write data from csv files, data cleansing, data manipulation, data visualization, run inferential statistics, understand the business problems.
Through hands-on projects, real-world datasets, and step-by-step exercises, you’ll learn how to design databases, extract insights, and build complex SQL queries that solve business problems. You’ll start with the basics of database concepts and gradually move toward advanced topics such as joins, subqueries, views, stored procedures, and performance optimization.
By the end of this course, you will have the technical expertise to handle large datasets, create efficient database structures, and integrate SQL with tools like Python, Excel, and Power BI to perform advanced data analytics.
Why Choose Us:
- 100% practical and project-based approach
- Real-world case studies and assignments
- Lifetime access to course materials and updates
- Expert mentorship and career support
- Learn from industry professionals with real experience
Advantages:
Countless Batch Access
Industry Expert Trainers
Shareable Certificate
Learn From Anywhere
Career Transition Guidance
Real-Time Project
Industry Expert
Interview Preparation
Class Recording
- 1 Section
- 35 Lessons
- 10 Weeks
- SQL35
- 1.1Introduction to Databases and SQL
- 1.2Understanding Databases
- 1.3Definition and Types of Databases
- 1.4Relational Databases and Non-Relational Databases
- 1.5Introduction to SQL and What is SQL?
- 1.6SQL History and Evoluation
- 1.7Importance of SQL in the industry
- 1.8Basic SQL Commands
- 1.9Filtering Data using WHERE clause
- 1.10Retrieving data from a single table
- 1.11Advanced Querying
- 1.12Ata Modifications
- 1.13COMMIT and ROLL BACK Statements
- 1.14Constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE AND CHECK)
- 1.15Aggregate Function (SUM, AVG, COUNT, MAX AND MIN)
- 1.16Stored Procedures and Functions
- 1.17Creating Stored Procedures
- 1.18Input and Output Parametres
- 1.19User-defined functions
- 1.20Database Security
- 1.21User Roles and Permission
- 1.22GRANT and REVOKE Statements
- 1.23Securing Sensitive Data
- 1.24Introduction to NoSQL Databases
- 1.25Overview of NoSQL Databases
- 1.26Best Practices and Optimizations
- 1.27Writing Efficient Queries
- 1.28Query Optimization Techniques
- 1.29Case Studies and Real-World Applications
- 1.30Analyzing real-world Scenario
- 1.31Building Practical Solution with SQL
- 1.32Views and Indexes
- 1.33Creating and Managing Views
- 1.34Indexes and their impact on Performance
- 1.35Data Filtering and Aggregation
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