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We're here to help you find itComplete Data Analysis for Beginners Course Overview
Complete Data Analysis for Beginners is designed to empower individuals with the essential skills needed to navigate the world of data. In this course, you will learn fundamental concepts such as data collection, cleaning, visualization, and basic statistical analysis. By the end, you will be able to interpret data effectively and make informed decisions based on your findings.
The practical applications of these concepts include real-world projects where you will analyze datasets, uncover insights, and present your results. This course is perfect for anyone looking to start a career in data analysis or enhance their problem-solving skills in today’s data-driven world. Join us and take the first step toward becoming a confident data analyst!
Purchase This Course
USD
View Fees Breakdown
Course Fee | 3,200 |
Total Fees |
3,200 (USD) |
USD
View Fees Breakdown
Course Fee | 2,450 |
Total Fees |
2,450 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure a smooth learning experience in the Complete Data Analysis for Beginners course by Data-Analysis-Bootcamp, we recommend that participants have the following minimum knowledge:
This course is designed for beginners, and no extensive prior experience in data analysis is required. All learners are encouraged to join, regardless of their background!
Complete Data Analysis for Beginners is an introductory course designed to equip individuals with fundamental data analysis skills, catering to those looking to enter the data-driven job market.
Introduction:
The Complete Data Analysis for Beginners course is designed to equip students with essential data analysis skills, enabling them to understand and apply various data analysis techniques effectively.
Learning Objectives and Outcomes: