Data Analyst Job Oriented Program at Prepzee Overview
Duration | 120 hours |
Start from | Start Now |
Total fee | ₹46,499 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Future job roles | Data Analyst |
- Overview
- Highlights
- Course Details
- Curriculum
- Admission Process
Data Analyst Job Oriented Program at Prepzee Highlights
- Earn a certificate after completion of course
- No Interest EMI
- 24*7 Technical Support
- Lifetime Live Training Access
Data Analyst Job Oriented Program at Prepzee Course details
Fresher looking to start a career in data analysis using SQL, Python, Power BI, and Advanced Excel
IT professional seeking to transition into data analysis, focusing on data-driven insights and business intelligence
If you're looking to switch careers into the data industry without extensive coding or statistical knowledge, focusing on practical tools
A professional wanting to enhance your data analysis skills and explore roles in business intelligence and reporting
Introduction to RDBMS
SQL Basics and Data Retrieval
ETL and Data Integration
Python for Data Analytics
Statistics for Data Analytics
Enroll in our Data Analyst classes online and embark on a dynamic journey towards a thriving career in data Analyst
This comprehensive program is designed to equip you with the skills and knowledge necessary to excel in the ever-evolving field of data engineering
Throughout this program, you'll delve into a diverse array of tools and technologies that are crucial for data engineers, including popular platforms like Databricks, Snowflake, PySpark, Azure, and Azure Synapse Analytics, among many more
Data Analyst Job Oriented Program at Prepzee Curriculum
Module 1: Introduction to RDBMS
What is RDBMS
Difference between RDBMS and DBMS
Overview of Popular RDBMS (e.g., MySQL, PostgreSQL, SQL Server, Oracle)
Basic Database Terminology (Tables, Columns, Rows, etc.)
Module 2: SQL Basics and Data Retrieval
SELECT Statements
Filtering Data (WHERE)
Sorting Data (ORDER BY)
Aliasing
Module 3. Aggregation and Grouping
Aggregate Functions: SUM(), AVG(), COUNT(), MIN(), MAX()
GROUP BY
HAVING
Module 4. Joins and Data Relationships
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL OUTER JOIN
SELF JOIN
Module 5. Data Manipulation and Transactions
INSERT, UPDATE, DELETE Statements
Transactions (BEGIN TRANSACTION, COMMIT, ROLLBACK)
ACID Properties
Module 6. Advanced SQL Functions and Conditional Logic
String Functions: CONCAT(), SUBSTRING(), TRIM()
Date Functions: DATE(), DATEDIFF()
Mathematical Functions: ROUND(), MOD()
Conditional Logic: CASE WHEN
Data Analyst Job Oriented Program at Prepzee Admission Process
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Data Analyst Job Oriented Program at Prepzee Contact Information
S-24,Second Floor, Alankar Plaza, Central Spine, New Vidhyadhar Nagar, Rajasthan/ Jaipur
Jaipur ( Rajasthan)