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Python

Data Science | Big Data - Job Interview Preparation

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Ultimate Study Stuff

Looking for an perfect job interview preparation? Searching in the web brings you only partial information? Congrats. You found what you are looking for.

Do you have a job interview related to data science, python programming, Big Data or in the financial industry in general? If you can answer this question with a yes, you are in the absolute perfect place.

This course provides you 6 different job interview preparation. As we have deep insides in different industries, we know exactly what matters contentwise.

Read more

Looking for an perfect job interview preparation? Searching in the web brings you only partial information? Congrats. You found what you are looking for.

Do you have a job interview related to data science, python programming, Big Data or in the financial industry in general? If you can answer this question with a yes, you are in the absolute perfect place.

This course provides you 6 different job interview preparation. As we have deep insides in different industries, we know exactly what matters contentwise.

We made some surveys to find out what fields are connected to each other and on top of that we found out which topics are important.

It is clear to everyone, that job interviews differ based on your experience. If you are a Senior Software Developer you know exactly what matters. The practice tests in this course brings you up to date in the different topics covered in this course. Our focus is on the knowledge. The tests inlcudes questions from beginner level up to advanced level. We do not cover behavioral or pychological topics, we boost your know-how, not your behaviour in this course, as every job interview will be helt in a different way. But the content will be almost the same per knowledge area.

As you now know what you can expect, lets go a bit deeper in the content of this course. The following big topics will challenge you:

  • Python

  • Data Science

  • Business Intelligence

  • Financial Analysis

  • Big data

  • Hadoop

This is a bundle of related topics. The chances are very high that you will work more than one of this subject areas at once. As a Data Scientist you should know how to do programming using Python these days.

There are 6 practice tests, one for each topic mentioned above. Each practice test is structured in the same way:

  • First you will get asked Interview questions which come up very often. The questions very in difficulty and contentwise.

  • The second part consists of Multiple Choice questions which are designed to boost you knowledge even more.

  • Each test includes 60 Interview questions and 30 Multiple Choice questions.

  • The Python practice test contains 90 interview questions and 90 Multiple Choice questions, as this is the basis for all of these topics.

The amount of questions are the start of this course, we will continously improve and enhance the practice tests.

After you finished this course and its practice tests, you will be sure in knowledge and this will give you a boost in confidence. The most important step to land a job is being prepared for your interviews. By doing some preparation you'll feel more in control, and will appear cool, calm and confident. You will be able to fully concentrate on your behaviour – be aware to talk slow and clear, keep an eye on your body language and your facial expressions. With our course as preparation – you can trust in you , as we trust in you of course.

The passing score for the pure job interview practice exams is set to 100%, as there are only correct answers given.

Let us walk you through an example. You will start a test and get asked questions which can occur during a job interview.

So read the question – think by yourself what you would answer and then read the given answer.

The passing score for pure the multiple choice practice exams is set to 75%.

To pass a mixed test you need a passing score of 90% - which means you need to tick all boxes in the first part of the test and answer about 75% of the multiple Choice questions correct.

In a mixed test

  • you will get asked Interview questions, the questions vary in difficulty and contentwise.

  • the second part consists of Multiple Choice questions which are designed to boost you knowledge even more.

It is completely up to you which tests you go for as preparation for your job interview. The tests can be done independently from each other, which is really nice.

We wish you a lot of gains in your knowledge and very much success in your next job interview.

Please be aware that we are working on this course on an ongoing basis. We always want to deliver highest quality to you and we try our best to do so. If you find any issue let us know and we will correct it immediatelly :)

Enroll now

What's inside

Syllabus

This test ist about Python as it is an essential part of the current needed job skills.


Note:

Remember to select all answers for the first part of the test (Job Interview part) to get it count as correct. This includes the first 60 questions.

The last 30 questions are multiple choice questions to proof your knowledge. Select only the correct answers for this part.

Read more

This test ist about Data Science as it is an essential part of the current needed job skills.

Note:

Remember to select all answers for the first part of the test (Job Interview part) to get it count as correct. This includes the first 60 questions.

The last 30 questions are multiple choice questions to  proof your knowledge. Select only the correct answers for this part.

This test ist about Business Intelligence as it is an essential part of the current needed job skills.

Note:

Remember to select all answers for the first part of the test (Job Interview part) to get it count as correct. This includes the first 60 questions.

The last 30 questions are multiple choice questions to  proof your knowledge. Select only the correct answers for this part.

This test ist about financial modeling as it is an essential part of the current needed job skills.

Note:

Remember to select all answers for the first part of the test (Job Interview part) to get it count as correct. This includes the first 60 questions.

The last 30 questions are multiple choice questions to  proof your knowledge. Select only the correct answers for this part.

This test ist about Hadoop as it is an essential part of the current needed job skills.

Note:

Remember to select all answers for the first part of the test (Job Interview part) to get it count as correct. This includes the first 60 questions.

The last 30 questions are multiple choice questions to  proof your knowledge. Select only the correct answers for this part.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers Python, data science, business intelligence, financial analysis, Big Data, and Hadoop, which are relevant for data science roles
Includes practice tests with interview questions and multiple-choice questions, which can help learners prepare for technical interviews
Focuses on knowledge-based questions rather than behavioral questions, which may not fully prepare learners for all aspects of job interviews
Requires a passing score of 100% on the job interview practice exams, which may be difficult for some learners to achieve
States that the course is continuously being improved, which may indicate that the content is not yet fully polished or complete

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Reviews summary

Job interview prep practice tests

According to learners, this course provides relevant practice tests designed to help with job interview preparation in areas like Python, Data Science, and Big Data. Many find the format of interview questions followed by MCQs useful. Students often mention that the course helps them identify knowledge gaps and build confidence for interviews. While the course is seen as a good starting point and provides useful questions, some learners note that answers and explanations could be improved or that the course might require supplementing with other resources for deeper understanding.
Provides a foundational overview.
"It's a good introduction and gives you a feel for the types of questions asked in interviews."
"For someone starting interview prep, this course offers a solid initial step."
"I found it useful as a way to get started with my interview preparation strategy."
Practice improves readiness and confidence.
"Practicing with these questions definitely made me feel more prepared and confident for my interviews."
"By the end of the tests, I felt much more ready to tackle real interview questions."
"The preparation boosted my confidence significantly before the actual interview process began."
Effective for finding areas needing more study.
"This course was great for showing me where my knowledge was weak before my interviews."
"Going through the questions highlighted the topics I needed to review further."
"It helped me pinpoint specific areas in Python and Data Science that I wasn't confident about."
Questions cover key topics for job interviews.
"The questions are highly relevant to actual job interviews I've had in data science."
"I found the questions to be very useful for preparing for interviews in Python roles."
"The practice tests covered a wide range of topics and felt very applicable to the skills needed for a big data job."
Not a standalone resource for full depth.
"While good for practice, you will definitely need to study these topics elsewhere for a deep understanding."
"This course is best used as a supplement to other learning materials, not as your only source of knowledge."
"I had to look up many concepts independently after encountering them in the tests."
Some answers lack clarity or detail.
"Some of the explanations for the answers were not very clear or detailed."
"I occasionally found errors in the provided answers or confusing explanations."
"A few questions had incorrect answers or needed better explanations to understand why the correct answer was chosen."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python | Data Science | Big Data - Job Interview Preparation with these activities:
Review Python Fundamentals
Solidify your understanding of Python fundamentals to better grasp advanced concepts covered in the course.
Browse courses on Python Basics
Show steps
  • Review basic syntax, data types, and control flow.
  • Practice writing simple Python scripts.
  • Work through online tutorials or exercises.
Follow a Pandas Tutorial
Improve your Pandas skills by following a guided tutorial and practicing data manipulation techniques.
Browse courses on Pandas
Show steps
  • Find a Pandas tutorial online.
  • Follow the tutorial step-by-step.
  • Experiment with different Pandas functions and methods.
Review 'Python Data Science Handbook'
Enhance your understanding of data science concepts and Python libraries by studying this comprehensive handbook.
View Python Data Science Handbook: Essential Tools... on Amazon
Show steps
  • Read chapters relevant to the course topics.
  • Work through the examples and exercises in the book.
  • Experiment with the code snippets in your own projects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review 'Hadoop: The Definitive Guide'
Deepen your knowledge of Hadoop and Big Data processing by studying this definitive guide.
View Hadoop: The Definitive Guide: Storage and... on Amazon
Show steps
  • Read chapters relevant to the course topics.
  • Work through the examples and exercises in the book.
  • Experiment with Hadoop in a virtual environment.
Write a Blog Post on a Data Science Topic
Reinforce your understanding of a specific data science topic by writing a blog post explaining it to others.
Browse courses on Data Science
Show steps
  • Choose a data science topic that interests you.
  • Research the topic and gather relevant information.
  • Write a clear and concise blog post explaining the topic.
  • Publish your blog post on a platform like Medium or your own website.
Practice LeetCode Problems (Python)
Improve your problem-solving skills and coding proficiency by practicing LeetCode problems using Python.
Show steps
  • Select a set of LeetCode problems related to data structures and algorithms.
  • Attempt to solve each problem independently.
  • Review solutions and optimize your code.
Build a Data Analysis Project
Apply your knowledge of Python and data science to a real-world project to solidify your skills.
Show steps
  • Choose a dataset and define a research question.
  • Clean, analyze, and visualize the data using Python libraries.
  • Document your findings and present your project.

Career center

Learners who complete Python | Data Science | Big Data - Job Interview Preparation will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist extracts insights from data using various techniques. This position requires a strong foundation in data science principles, along with programming skills. This course helps build a foundation in both, covering data science concepts and providing practice with Python. The course's focus on job interview preparation, particularly in data science, makes it quite useful for those seeking to enter the field. The practice tests, including multiple choice, may boost confidence in one's knowledge of important topics.
See salaries and explore the career path for Data Scientist
Python Programmer
A Python Programmer uses Python to write code for different applications. This course includes a module and practice tests that specifically address Python. The focus on job interview preparation may be extremely useful for someone hoping to gain a job as a Python programmer. The course's focus on technical knowledge may help build confidence.
See salaries and explore the career path for Python Programmer
Software Developer
A Software Developer writes, debugs, and maintains code. Much of modern software development involves some understanding of data science. This course focuses on Python, which is a common language used in software in a data context. This course also has interview preparation that may be useful for one hoping to enter the software development field. The practice tests focus on knowledge of python and related topics.
See salaries and explore the career path for Software Developer
Big Data Architect
A Big Data Architect designs and implements big data solutions. This role typically requires a strong understanding of big data technologies like Hadoop. This course includes practice tests on Hadoop and big data, which may be useful since the work of a Big Data Architect involves a deep understanding of these topics. The course may also help one prepare for interviews.
See salaries and explore the career path for Big Data Architect
Data Engineer
A Data Engineer builds and maintains the infrastructure for data storage and processing. This includes working with big data technologies. This course includes practice tests on big data and Hadoop. These skills will be highly relevant for a career as a data engineer. This course also focuses on job interview preparation, which may help one to land a role in this field, especially if one is a newcomer to data engineering.
See salaries and explore the career path for Data Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning algorithms. This role often requires experience with Python and data science techniques. This course provides practice tests, with a module on Python, that may be useful in preparing for the work that a Machine Learning Engineer does. The course's focus on interview preparation may be very helpful, especially as the field is so competitive.
See salaries and explore the career path for Machine Learning Engineer
Business Intelligence Analyst
A Business Intelligence Analyst uses data to identify trends and opportunities. This role is similar to a data scientist but may focus more on reporting and analysis. This course may be useful to gain a strong understanding of the fundamentals including those in business intelligence, which can be valuable in this role. Additionally, the course offers practice tests that are specific to business intelligence concepts. These practice tests can boost confidence for interviews.
See salaries and explore the career path for Business Intelligence Analyst
Financial Analyst
A Financial Analyst evaluates financial data, develops models, and provides recommendations. This position requires strong analytical skills. This course may help prepare someone for this role by providing a knowledge of financial analysis. The course includes practice tests, which focus on financial analysis, and will help one prepare for job interviews. The course is especially useful for those who need to deepen their knowledge of topics relevant to this field.
See salaries and explore the career path for Financial Analyst
Business Analyst
A Business Analyst identifies business needs and develops solutions. This role may involve data analysis. This course may help to build knowledge and confidence in business intelligence and data analysis. The practice tests in business intelligence may be especially relevant for one who would like to become a business analyst. The focus on interview preparation may also be helpful.
See salaries and explore the career path for Business Analyst
Risk Analyst
A Risk Analyst assesses and mitigates financial and operational risks. This role requires an understanding of financial principles. This course may be useful to become more familiar with financial analysis principles. The practice tests included in this course on financial analysis may be a good way to test your skills and prepare for an interview.
See salaries and explore the career path for Risk Analyst
Quantitative Analyst
A Quantitative Analyst develops mathematical and statistical models for financial markets. This role requires a deep knowledge of mathematics and programming. This course's practice tests on financial analysis may be relevant and help to develop some of the financial knowledge and skills needed. The focus on interview preparation may also be valuable to someone looking to enter this competitive field.
See salaries and explore the career path for Quantitative Analyst
Research Analyst
A Research Analyst collects and analyzes data to support research projects. This position may be in any number of fields, but often involves the use of data. This course may be useful to understand how data analysis works from a practical perspective. The course includes practice tests that cover data science, business intelligence, and financial analysis, which could be helpful. The interview preparation could provide an important boost.
See salaries and explore the career path for Research Analyst
Database Administrator
A Database Administrator manages and maintains databases. This role requires some knowledge of data structures and how databases are managed. This course, may be useful as it tests knowledge of topics related to data and big data, as well as business intelligence. The focus on interview questions, and also multiple choice, may be useful in preparation for a job interview.
See salaries and explore the career path for Database Administrator
Statistician
A Statistician applies statistical methods to collect, analyze, and interpret data. This position can exist in any number of fields. The course may be useful as it focuses on data science concepts. The course's practice tests, particularly in data science, may help build one's knowledge and confidence. However, an advanced degree may often be required for a position as a statistician.
See salaries and explore the career path for Statistician
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data. This role requires an understanding of data science principles and the ability to communicate information effectively. This course covers the data science principles required, and the practice tests can help one to feel confident and well prepared for a job in data visualization. The interview preparation may also be useful.
See salaries and explore the career path for Data Visualization Specialist

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python | Data Science | Big Data - Job Interview Preparation.
Cover image
Python Data Science Handbook
Save
Provides a comprehensive overview of essential Python data science tools and techniques. It covers NumPy, Pandas, Matplotlib, and Scikit-learn in detail. It valuable reference for understanding the practical application of Python in data science. This book is commonly used by both academic institutions and industry professionals.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Cover image
Hadoop: The Definitive Guide
Save
Comprehensive guide to Hadoop, covering its architecture, components, and applications. It provides in-depth explanations of HDFS, MapReduce, and YARN. It useful reference for understanding the fundamentals of Big Data processing with Hadoop. This book is commonly used by industry professionals.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$

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Rating
4.6 Filled star Filled star Filled star Filled star Half star
Effort
630 questions
Via
Udemy
Instructor
Ultimate Study Stuff
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers Python, data science, business intelligence, financial analysis, Big Data, and Hadoop, which are relevant for data science roles
Includes practice tests with interview questions and multiple-choice questions, which can help learners prepare for technical interviews
Focuses on knowledge-based questions rather than behavioral questions, which may not fully prepare learners for all aspects of job interviews
Requires a passing score of 100% on the job interview practice exams, which may be difficult for some learners to achieve
States that the course is continuously being improved, which may indicate that the content is not yet fully polished or complete
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