Big Data Analysis Engineer Written Exam: 1 subject Big Data Analysis Planning

This course is a single-subject course in the sales version of Maso Campus' Big Data Analysis Engineer written test series.

If you want an all-in-one course that includes solutions to subjects 1-4 and the latest modified exam questions, please refer to the lecture below .

All-in-One Big Data Analyst Written Exam: Complete Preparation in 3 Weeks https://inf.run/hdGcb

Big Data Analyst Written Exam 1: Mastering Big Data Analysis Planning!

With the advent of the data age, the importance of big data analysis technology is growing.

So how can you demonstrate your expertise in big data analytics?

The goal of the Big Data Analysis Engineer course is to foster professionals equipped with comprehensive data capabilities, from understanding big data to collection, storage, processing, analysis, and visualization, in response to these contemporary demands.

But, do you lack the knowledge of big data and the statistical knowledge for analysis?

So, in this lecture from Maso Campus, we've prepared the skills to challenge the exam even if you lack data and statistical knowledge!

The lecture I will introduce this time is the first subject of the Big Data Analysis Engineer written exam.

In this course, you will learn the basics of big data, how to develop a data analysis plan, and how to develop a plan for collecting and storing data.

We also cover techniques for efficiently exploring and modeling big data to derive practical business insights.

Do you think all this is the domain of experts only?

In fact, anyone can perform effective big data analysis with basic big data knowledge and appropriate utilization methods.

In this course, you will learn systematically from the basics of big data analysis to practical analysis.

Do you want to become a big data analysis expert?

This course will help you acquire fundamental big data analysis skills and take your first steps toward becoming a big data analyst.

Discover your potential in "Big Data Analyst Written Exam 1" and become a leading figure in the data-driven era!

Lecture Features

This course comprehensively covers the basic concepts of big data, from data collection and storage planning, across the entire Big Data Analyst written exam. It is a systematic course that allows you to learn the essential theories required for data analysis.

• 1 subject Big Data Analysis Planning Core Theory!

The basic theory of big data, data analysis plan, and data collection covered in subject 1.

We provide only the essential content in an easy and useful way.

• A Systematic Approach to Big Data Analysis

Even if you are not preparing for a certification, non-majors or non-experts who are unsure where to start with big data analysis can take the course.

Through this course, you will acquire the analytical and statistical knowledge essential for big data analysis.

• Complete preparation for the actual exam with key past exam questions!

Along with the explanation of the core theory, we will solve representative types of past exam questions.

We provide a solid preparation process to help you pass the exam.

Big Data Analysis Engineer Written Exam: After taking the 1st subject lecture

After completing the Big Data Analysis Engineer written exam 1 course,
Based on a comprehensive understanding of the field of data analysis from basic to advanced
You will acquire various capabilities required in the field.
This course is for everyone from beginners in data analysis to current data analysts.
Suitable for learners of all levels.

• Basic understanding of big data

• Improving data analysis planning capabilities

• How to use various data platforms

• Understanding the Integration of Artificial Intelligence and Big Data

With this course, you will acquire professional knowledge of big data analysis.

Get ready to take your first step toward becoming an expert in big data analytics.

1. Understanding Big Data

2. Plan before analyzing!

3. Learn about various data analysis methods.

4. Organize past exam questions by section

Expected Questions Q&A

Q. Is prior knowledge of data analysis, statistics, or coding required?

A. This course is open to anyone interested in data analysis. It is designed to provide data analysis capabilities, and does not require prior data analysis, statistics, or coding skills.

Q. Are there any requirements or prerequisites for taking the course?

A. Since this is a theory, problem-solving, and explanation course, you can take the course without any prerequisites or conditions! If you wish to take notes, you will need a note-taking tool.

Q. I don't plan on taking the exam, but I want to strengthen my data skills. Will this help?

A. This course is designed to be accessible to anyone interested in data analysis, regardless of their goal of obtaining a certification. It systematically covers the fundamental concepts of data analysis. If your goal is to become a data analysis expert, this course will be of great help.

Please check before taking the class!

• Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture and practice screens.

  • Additionally, since the training is conducted based on Windows OS, we recommend taking the course in a Windows environment .

  • Lecture notes and practice files are available in the <00. Textbook Download Center> section .