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Fundamentals of Data Analysis (Basic and Advance) | FDABA

Created By: Training Head

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What you'll learn
  • Introduction to Data Analysis
  • Excel Basics
  • Data Visualization Principles
  • Tableau Usage
  • Data Cleaning Techniques
  • SQL Fundamentals
  • Descriptive Statistics
  • Inferential Statistics
  • A/B Testing
  • Advanced Techniques

Participants need a computer with internet access. No prior experience in data analysis is required. Basic computer literacy is recommended. The course is designed for beginners seeking foundational knowledge in data analysis. Enthusiasm for learning and a willingness to engage in hands-on exercises and projects are essential. Access to Microsoft Excel and Tableau software is preferred but not mandatory, as alternative tools may be provided for practice.

Course Description

The Foundations of Data Analysis course provides a comprehensive introduction to essential principles and techniques for interpreting data effectively. Designed for beginners, the course covers basic data manipulation with Excel, data visualization using Tableau, and data cleaning with SQL. Participants will delve into statistical analysis, including hypothesis testing and A/B testing, and explore advanced techniques like regression analysis, time series analysis, and machine learning. Through a capstone project, participants will apply learned concepts to real-world datasets, crafting comprehensive data analysis reports. Recommended resources and industry case studies supplement learning. Upon completion, participants are prepared for roles such as Business Analyst, Data Scientist, Financial Analyst, and more. No prior experience required, making it ideal for those seeking a foundational understanding of data analysis.

Course Content

Module FDABA 1

Module FDABA 2

Module FDABA 3

Module FDABA 4

Module FDABA 5

Module FDABA 6

Module FDABA 7

Course Reviews

Pedestal Techno World Private Limited offers an exceptional learning experience, merging industry insights and expert guidance for skillful futures.

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This Course Includes:

Duration : 6 Months

Letures : 72

Offline & Online Mode