Big Data Analysis Engineer Practical Exam Preparation (Using R)

Practical Big Data Analyst Preparation with R!

What about this lecture? 📖

The Big Data Analyst certification has been newly established. However, there's a severe lack of study materials for the Big Data Analyst practical exam. Since the practical exam is conducted via computer-based testing (CBT), hands-on learning is more effective than textbook study. However, few courses offer practical training. Therefore, we've created this course to assist those preparing for the Big Data Analyst practical exam using R.

Just as there are ways to learn English, starting with the alphabet and then moving on to speaking, this course is designed to teach you how to directly manipulate data in R. It focuses on solving problems and content actually tested on the Big Data Analyst exam. This course is more suited to those seeking to pass the exam and achieve a high score than those seeking a systematic approach to learning.

This course doesn't systematically teach R, data analysis, or machine learning from the ground up. It's a strategic approach designed to help you pass the Big Data Analyst certification exam. Therefore, we appreciate it if you take it for the purpose of passing the Big Data Analyst certification exam.

Who would benefit from listening? 🔍

• Those preparing for the Big Data Analyst practical exam using R
• Those who don't have enough time to learn from the basics
• Those with introductory level knowledge of R
• Those with basic knowledge of data analysis
• Those who want to learn mainly the functions tested in the practical test

Lecture Features ✨

• We will review only the necessary parts, starting from basic grammar.
• It is mainly composed of practical content for the Big Data Analysis Engineer exam.
• Based on past exam questions, only the essential parts are included in the lecture.
• We provide similar problems and solutions to previous exam questions.
• We've broken down the course into sections so you can take only the parts you need.

What you'll learn 📚

_{Big Data Analyst Exam Changes}

• Introduction to the exam and lecture direction
• Lecture content updated (September 16, 2024)
• Arithmetic operations, vectors, variable types
• Working with DataFrames 1 - Variable Selection, Data Summarization, Sorting, Joining, etc.
• Handling Data Frames 2 - Missing Values, Outlier Handling, Merging, etc.
• Handling Data Frames 3 - Input/Output, etc.
• Model Building 1 - Classification Problem and Evaluation
• Model Building 2 - Regression Problem and Evaluation
• Solutions to Expected Questions - Task-Based Type 1
• Solutions to Expected Questions - Task-Based Type 2
• 3rd Practical Exam Review - Task-Based Type 1
• 3rd Practical Exam Review - Task-Based Type 2
• 4th Practical Exam Review - Task-Based Type 1 (1)
• 4th Practical Exam Review - Task-Based Type 1 (2)
• 4th Practical Exam Review - Task-Based Type 2
• Preparation for the 6th practical exam
• Work-Type 3 Review - Statistical Testing (1), Statistical Testing (2)

Created this course
Introducing the knowledge sharer.

companionclub

• Master of Data Science
• Worked at electronics manufacturing company S, public institution, chemical manufacturing company S, and machinery manufacturing company H
• Experience in carrying out related projects and numerous lectures using R
• Passed the 2nd Big Data Analyst Exam (Perfect Score on the Practical Test)

Expected Questions Q&A 💬