Big Data Analysis Engineer Written Exam: 2 Subjects Big Data Exploration

This course is a two-subject course in the short course 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 2 Subjects: Mastering Big Data Exploration!

As the data age advances, expertise in big data analysis is becoming increasingly important!

To meet this need, the two written subjects for the Big Data Analyst exam provide a variety of advanced skills, including data cleansing, analytical variable processing, basic and advanced data exploration, descriptive statistics, and inferential statistics.

This course will help you deepen your data analysis skills and demonstrate your expertise!

But are you worried about your lack of knowledge about big data or the statistical knowledge needed to analyze it?

Maso Campus has designed this course to help even those without a basic understanding of statistics and data analysis gain the confidence to take the Big Data Analyst exam.

In this two-course lecture on the Big Data Analyst exam, you'll learn data preprocessing, including handling missing and outlier data, and effective analysis variable processing techniques. Furthermore, data exploration will cover correlation analysis and basic statistical extraction to deepen your understanding of data, and advanced data exploration techniques will cover unstructured data analysis.

In particular, this course teaches how to summarize data through descriptive and inferential statistics, learn basic to advanced statistical methods, and learn how to draw meaningful conclusions from actual data.

Still an expert? No!

You too can become a big data analytics expert.

This course will help even data analysis beginners grow into experts, allowing you to take your first steps toward becoming a big data analyst.

Discover your potential in the "Big Data Analyst Written Exam 2 Subjects" and prepare for a crucial role in the data-driven era!

Lecture Features

This course covers a wide range of topics, from data cleansing to advanced statistical analysis, across the two written exam subjects for the Big Data Analyst Engineer exam. It is a systematic course that allows you to learn advanced data analysis theories.

• 2 subjects: Big Data Advanced Analysis Core Theory!

In the second subject, we start with data cleaning techniques and move on to analysis variable processing, descriptive statistics, and inferential statistics.

We provide practical analysis techniques for big data in an easy and useful way, focusing on core content.

• A Systematic Approach to Big Data Analysis

Not only for those preparing for certification, but also for non-majors and beginners who are unsure of how to start big data analysis

This course will provide you with the advanced analytical and statistical knowledge required for the exam.

• Gain practical experience with key past exam questions!

Along with the explanation of core theories, it covers various topics such as data exploration, variable processing, and statistical analysis.

We will help you prepare for passing the exam by solving representative types of past exam questions together.

Big Data Analysis Engineer Written Exam: After taking 2 subjects

After completing the two written courses for the Big Data Analyst Engineer,
You will gain valuable skills in data analytics.
This course is based on basic knowledge of data analysis.
Suitable for those who want to know more in-depth content.
Suitable for learners of all levels, including practicing data analysts.

• Improved data cleansing and processing capabilities

• Acquire various analysis methods and variable processing techniques

• Strengthening data exploration and interpretation capabilities

Through this course, you will acquire the necessary data analysis skills,
Get ready to embark on your journey to becoming an expert in big data analytics.

1. Handling data outliers!

2. Advanced data exploration techniques!

3. Learn technical statistics!

4. Establish and test hypotheses

Expected Questions Q&A

Q. What topics are covered in the two written exam subjects for the Big Data Analyst Engineer exam?

A. This course covers data cleaning, analytical variable processing, data exploration, advanced data exploration, descriptive statistics, and inferential statistics. You will learn and understand advanced analytical techniques and statistical methods.

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

A. While basic data analysis and statistical knowledge are helpful, the course covers the fundamentals step-by-step, making it accessible even to those without prior knowledge. Key concepts are systematically covered, from basic to advanced.

Q. How will this course help me improve my data analysis skills?

A. This course provides analytical skills that can address a variety of practical situations, from data cleansing to advanced statistical analysis. Specifically, you will learn techniques for handling outliers, selecting and transforming variables, and dimensionality reduction, enabling more sophisticated data modeling.

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 .