Certified Data Analyst Training Course

The Elysium Certified Data Analyst Training Course offers comprehensive instruction in R, Tableau, and Power BI, spanning 90 hours to build expertise in data analysis and visualization. Additionally, students can enhance their programming skills with a Core & Advanced Python Programmer Course, covering 90 hours of hands-on learning in Python.

Upon completion of these courses, students gain industry-relevant knowledge and tools to excel in the field of data analytics. Elysium provides 100% placement assurance, ensuring opportunities in top organizations. This program is designed to equip learners with the skills required for high-demand roles.

The Elysium Certified Data Analyst – Training Course offers learners the opportunity to master essential data analysis skills using industry-standard tools. Dive into the fascinating world of data analytics and learn SQL, Excel, Tableau, and Power BI with the guidance of experienced instructors. Learners will emerge prepared to tackle real-world data analysis challenges. Here are some of the skills you will need to learn if you want to become a data analyst.

What Will You Learn?

• Master data analysis fundamentals, including data manipulation, visualization, and reporting.
• Dive into advanced concepts such as predictive modeling and statistical analysis.
• Learn to use powerful tools like SQL, Excel, Tableau, and Power BI.
• Gain expertise in data visualization techniques to communicate insights effectively.
• Understand and apply data governance and compliance policies.
• Develop practical skills through hands-on labs and real-world projects.

Syllabus:

• Chapter-1 R Introduction
• Chapter-2 Control Statements
• Chapter-3 Data Structures
• Chapter-4 Manipulating Data
• Chapter-5 Introduction to Tableau
• Chapter-6 Advance Data Visualization/Graph
• Chapter-7 Building View Advance Map Option
• Chapter-8 Advanced Data Preparation
• Chapter-9 Basic Calculation
• Chapter-10 Grouping Data/Dynamic Representation
• Chapter-11 lntroduction To Power Bi
• Chapter-12 Report visualizations and Properties
• Chapter-13 Power Query & M Language
• Chapter-14 Dax Expressions - Level 1
• Chapter-15 Powerbi Deployment & Cloud
• Chapter-16 Insights And Subscriptions
• Chapter-17 Introduction To Script
• Chapter-18 Different Modes In Python
• Chapter-19 Variables In Python
• Chapter-20 Dictionary
• Chapter-21 Python Operators
• Chapter-22 Operators
• Chapter-23 Python Functions What Is A Function?
• Chapter-24 List Comprehension
• Chapter-25 Exception Handling
• Chapter-26 Packages
• Chapter-27 Object Oriented Programming
• Chapter-28 Exception Handling & Files
• Chapter-29 Multithreading
• Chapter-30 Base Communication And Networking
• Chapter-31 Packages
• Chapter-32 Data Science