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Mathematics and Statistics Fundamentals Proctored Exam

Martin Anthony and James Abdey

This exam assesses all concepts, methods and techniques introduced across the four courses within the LSE MicroBachelors program in Mathematics and Statistics Fundamentals:

Mathematics 1: Differential calculus

Mathematics 1: Integral calculus, algebra, and applications

Statistics 1: Introductory statistics, probability and estimation ****

Statistics 1: Statistical methods ****

It is two hours in duration and must be sat under online proctored conditions.

Read more

This exam assesses all concepts, methods and techniques introduced across the four courses within the LSE MicroBachelors program in Mathematics and Statistics Fundamentals:

Mathematics 1: Differential calculus

Mathematics 1: Integral calculus, algebra, and applications

Statistics 1: Introductory statistics, probability and estimation ****

Statistics 1: Statistical methods ****

It is two hours in duration and must be sat under online proctored conditions.

It is the final step towards completing the LSE MicroBachelors program in Statistics Fundamentals and you must pass with a mark of 60% or higher to gain your certificate.

Enroll now

What's inside

Learning objective

N/a

Syllabus

The following topics are assessed within this exam:
Functions and graphs
The derivative
Curve sketching and optimisation
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides a certificate in Statistics Fundamentals issued by the London School of Economics and Political Science (LSE)
Covers the fundamental principles of mathematics and statistics essential for further study or professional practice
Provides a structured learning path with four foundational courses followed by an online proctored capstone exam
Taught by instructors from the LSE, recognized for their expertise in mathematics and statistics education
Requires learners to pass the capstone exam with a score of 60% or higher to obtain the certificate, ensuring a rigorous assessment of knowledge and skills

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Reviews summary

Rigorous lse math & stats assessment

According to learners, the "Mathematics and Statistics Fundamentals Proctored Exam" is a rigorous and comprehensive assessment that effectively consolidates knowledge from the LSE MicroBachelors program. Students emphasize that thorough preparation is essential to succeed, as the exam covers a broad range of fundamental topics from differential calculus to statistical methods. While many find it challenging but fair, the online proctoring experience can be a point of concern due to technical issues or strict rules. Ultimately, passing this exam is seen as a highly valuable achievement, leading to a recognized LSE certificate that enhances career prospects.
Passing leads to a recognized and career-enhancing LSE certificate.
"A fantastic capstone to the MicroBachelors program. Passing this exam for the LSE certificate felt incredibly rewarding."
"Successfully passed! This exam is a true testament to the quality of the LSE MicroBachelors program."
"The main motivation for taking this exam was the prestigious LSE credential. It's worthwhile for career progression."
A wide-ranging and academically rigorous evaluation.
"This exam truly tests your knowledge across all four LSE MicroBachelors courses. The breadth of topics is impressive."
"It's a rigorous and comprehensive assessment. It covers every major topic from the MicroBachelors program effectively."
"I appreciated the comprehensive nature of the exam. It really made sure I understood all fundamental concepts."
Success demands diligent study of prior course modules.
"You absolutely must have completed and mastered the previous courses to pass this exam."
"I spent weeks reviewing the material, and it paid off; the exam aligns well with the lectures."
"Don't underestimate the need to revisit all topics from the entire program. Prepare thoroughly!"
The proctoring system can present technical challenges.
"The online proctoring was a nightmare. I had technical issues that ate into my exam time, and the support was slow."
"Absolutely terrible proctoring experience. Technical glitches from the start, constant interruptions."
"The proctoring software was a bit tricky to set up, and I had some initial glitches. It added a lot of unnecessary stress."
The two-hour limit can feel tight given the exam's scope.
"The two-hour limit feels too short for the sheer volume of topics. I felt like I needed more time."
"Two hours for all those topics felt a bit tight; I had to manage my time carefully."
"I ran out of time on some questions, so practice your speed and accuracy."

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 Mathematics and Statistics Fundamentals Proctored Exam with these activities:
Review basic probability concepts
Recall and refresh your understanding of fundamental probability concepts, such as sample spaces, events, and probability distributions, to prepare for more advanced statistical topics.
Browse courses on Probability
Show steps
  • Review notes or online resources on basic probability.
  • Solve practice problems to reinforce your understanding.
  • Identify areas where you need additional clarification.
  • Seek help from a tutor or instructor if necessary.
Review Introduction to Statistical Learning
Review the introductory chapters of this comprehensive textbook to strengthen your foundation in statistical learning concepts and techniques.
View An Introduction to Statistical Learning: with... on Amazon
Show steps
  • Obtain a copy of the textbook.
  • Read and understand the introductory chapters.
  • Summarize the key concepts and methods.
  • Complete the practice exercises provided in the book.
  • Discuss the concepts with your peers or an instructor.
Solve practice problems on derivatives
Solve a variety of practice problems on derivatives to reinforce your understanding of this fundamental concept.
Show steps
  • Review notes and lecture slides on derivatives.
  • Attempt to solve practice problems on your own.
  • Check your answers against the provided solutions.
  • Identify areas where you need additional practice.
  • Seek help from a tutor or instructor if needed.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete practice questions on hypothesis testing
Engage in practice questions on hypothesis testing to strengthen your understanding of statistical inference and hypothesis evaluation.
Browse courses on Hypothesis Testing
Show steps
  • Review lecture materials and notes on hypothesis testing.
  • Attempt to solve practice questions independently.
  • Compare your answers to provided solutions.
  • Identify areas where you need additional practice.
  • Seek clarification from a tutor or instructor if needed.
Follow tutorials on solving optimization problems
Follow online tutorials or guided exercises on solving optimization problems to enhance your problem-solving skills in this area.
Browse courses on Optimization
Show steps
  • Search for tutorials on optimization problems.
  • Choose a tutorial that aligns with your skill level.
  • Follow the steps outlined in the tutorial.
  • Complete the practice exercises provided.
  • Apply the techniques to solve your own optimization problems.
Participate in a study group for statistics
Join a study group with peers to discuss course material, work on practice problems together, and reinforce your understanding of statistical concepts.
Browse courses on Statistics
Show steps
  • Find or form a study group with other students in the course.
  • Choose a regular meeting time and place.
  • Prepare for each meeting by reviewing the assigned material.
  • Actively participate in discussions and problem-solving activities.
  • Seek support and clarification from your peers.
Create a data visualization of statistical data
Create a data visualization to represent statistical data, such as a graph, chart, or infographic. This will help you develop your data analysis and communication skills.
Browse courses on Data Visualization
Show steps
  • Gather and clean the data you want to visualize.
  • Choose an appropriate data visualization format.
  • Create the visualization using a data visualization tool.
  • Interpret the visualization and draw conclusions from the data.
  • Present your visualization to others.
Attend a workshop on data analysis techniques
Participate in a workshop led by experts to gain practical experience in applying data analysis techniques, enhancing your proficiency in data handling and interpretation.
Browse courses on Data Analysis
Show steps
  • Identify relevant data analysis workshops.
  • Register for a workshop that aligns with your interests.
  • Attend the workshop and actively participate in activities.
  • Apply the techniques learned to your own data analysis projects.
  • Follow up with the workshop organizers or instructors if you have questions.

Career center

Learners who complete Mathematics and Statistics Fundamentals Proctored Exam will develop knowledge and skills that may be useful to these careers:
Market Research Analyst
A Market Research Analyst uses statistics and other research methods to study market trends and consumer behavior. They use this information to help businesses make informed decisions about product development, marketing, and sales. This course may be useful for aspiring Market Research Analysts because it provides a strong foundation in statistics, which is essential for this role.
See salaries and explore the career path for Market Research Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematics, statistics, and financial modeling to analyze and make recommendations on investments. They use this information to help hedge funds, investment banks, and other financial institutions make informed decisions about how to allocate their capital. This course may be useful for aspiring Quantitative Analysts because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Quantitative Analyst
Actuary
An Actuary uses mathematics and statistics to assess and manage risk. They use this information to help insurance companies, pension funds, and other financial institutions make informed decisions about how to price their products and manage their investments. This course may be useful for aspiring Actuaries because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Actuary
Data Analyst
A Data Analyst uses mathematics, statistics, and other analytical methods to analyze and interpret data. They use this information to help businesses and organizations make informed decisions about a wide range of issues. This course may be useful for aspiring Data Analysts because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Data Analyst
Statistician
A Statistician uses mathematics and statistics to collect, analyze, and interpret data. They use this information to help businesses and organizations make informed decisions about a wide range of issues. This course may be useful for aspiring Statisticians because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Statistician
Data Scientist
A Data Scientist uses mathematics, statistics, and computer science to analyze data. They use this data to solve problems and make recommendations. This course may be useful for aspiring Data Scientists because it provides a solid foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Data Scientist
Financial Analyst
A Financial Analyst uses mathematics, statistics, and financial modeling to analyze and make recommendations on investments. They use this information to help businesses make informed decisions about how to allocate their capital. This course may be useful for aspiring Financial Analysts because it provides a solid foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematics, statistics, and other analytical methods to help businesses and organizations improve their operations. They use this information to help businesses make informed decisions about how to allocate their resources, improve their processes, and reduce their costs. This course may be useful for aspiring Operations Research Analysts because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Operations Research Analyst
Risk Manager
A Risk Manager uses mathematics, statistics, and financial modeling to assess and manage risk. They use this information to help businesses and organizations make informed decisions about how to protect themselves from financial and other risks. This course may be useful for aspiring Risk Managers because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Risk Manager
Business Analyst
A Business Analyst uses mathematics, statistics, and other analytical methods to help businesses and organizations improve their operations. They use this information to help businesses make informed decisions about how to allocate their resources, improve their processes, and reduce their costs. This course may be useful for aspiring Business Analysts because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Business Analyst
Data Architect
A Data Architect designs and manages data systems. They use mathematics, statistics, and other analytical methods to ensure that data is stored, processed, and accessed in a way that meets the needs of the business. This course may be useful for aspiring Data Architects because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Data Architect
Database Administrator
A Database Administrator manages and maintains databases. They use mathematics, statistics, and other analytical methods to ensure that data is stored, processed, and accessed in a way that meets the needs of the business. This course may be useful for aspiring Database Administrators because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Database Administrator
Computer Scientist
A Computer Scientist designs and develops computer systems. They use mathematics, statistics, and other analytical methods to ensure that systems are efficient, reliable, and user-friendly. This course may be useful for aspiring Computer Scientists because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Computer Scientist
Software Engineer
A Software Engineer uses mathematics, statistics, and other analytical methods to design, develop, and test software applications. They use this information to help businesses and organizations create software that is efficient, reliable, and user-friendly. This course may be useful for aspiring Software Engineers because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Software Engineer
Systems Analyst
A Systems Analyst analyzes and designs computer systems. They use mathematics, statistics, and other analytical methods to ensure that systems are efficient, reliable, and user-friendly. This course may be useful for aspiring Systems Analysts because it provides a strong foundation in mathematics and statistics, which are essential for this role.
See salaries and explore the career path for Systems Analyst

Reading list

We've selected ten 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 Mathematics and Statistics Fundamentals Proctored Exam.
Cover image
Algebra and Trigonometry
Save
This classic textbook provides a comprehensive overview of calculus, including differential and integral calculus, and multivariate calculus. It good resource for students who want to review or supplement the material covered in the course.
Algebra and Trigonometry
Paperback
Check
Algebra and Trigonometry
Kindle Edition
Check
Cover image
Linear Algebra for Everyone
Save
This classic textbook provides a comprehensive overview of linear algebra, including vector spaces, matrices, and linear transformations. It good resource for students who want to review or supplement the material covered in the course.
Linear Algebra for Everyone
Paperback
Check
Linear Algebra for Everyone
Kindle Edition
Check
Cover image
Mathematical Statistics with Applications
Save
This textbook provides a comprehensive overview of mathematical statistics, including probability theory, random variables, and statistical inference. It good resource for students who want to review or supplement the material covered in the course.
Mathematical Statistics with Applications
Hardcover
$$$
Mathematical Statistics with Applications
Hardcover
$$$
Mathematical Statistics with Applications
Hardcover
$$$$
WebAssign Access Card for Mathematical Statistics...
Printed Access Code
$$$$
Mathematical Statistics with Applications
Kindle Edition
$$$
Cover image
Econometrics
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This textbook provides a comprehensive overview of econometrics, including regression analysis, time series analysis, and panel data analysis. It good resource for students who want to review or supplement the material covered in the course.
Econometrics
Hardcover
$$$
Econometric Theory and Practice: Frontiers of...
Hardcover
$$$
Econometrics
Kindle Edition
$$$
Cover image
The Elements of Statistical Learning
Save
This textbook provides a comprehensive overview of statistical learning methods, including supervised learning, unsupervised learning, and ensemble methods. It good resource for students who want to review or supplement the material covered in the course.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Introduction to Probability, Second Edition
Save
This textbook provides a comprehensive overview of probability theory, including probability spaces, random variables, and conditional probability. It good resource for students who want to review or supplement the material covered in the course.
Introduction to Probability, Second Edition...
Hardcover
$$$
Introduction to Probability, Second Edition...
Kindle Edition
$$$
Cover image
Introduction to Mathematical Statistics, Global...
Save
This textbook provides a comprehensive overview of mathematical statistics, including probability theory, random variables, and statistical inference. It good resource for students who want to review or supplement the material covered in the course.
Introduction to Mathematical Statistics, Global...
Paperback
$$$
Cover image
The Desk Jockey's Manifesto- Sc-Color Interior...
Save
This textbook provides a comprehensive overview of statistics, including probability theory, random variables, and statistical inference. It good resource for students who want to review or supplement the material covered in the course.
The Desk Jockey's Manifesto- Sc-Color Interior...
Paperback
$$
Cover image
Statistical Rethinking
Save
This textbook provides a comprehensive overview of statistical modeling, including Bayesian modeling and frequentist modeling. It good resource for students who want to review or supplement the material covered in the course.
Statistical Rethinking
Paperback
Check
Statistical Rethinking
Kindle Edition
Check
Cover image
Deep Learning
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This textbook provides a comprehensive overview of deep learning, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It good resource for students who want to review or supplement the material covered in the course.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$

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Course image
Effort
1 to 2 hours per week for 1 week
Level
Intermediate
Via
edX
Institution
The London School of Economics and Political Science
Instructors
Martin Anthony
James Abdey
Language
English
Transcript
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Provides a certificate in Statistics Fundamentals issued by the London School of Economics and Political Science (LSE)
Covers the fundamental principles of mathematics and statistics essential for further study or professional practice
Provides a structured learning path with four foundational courses followed by an online proctored capstone exam
Taught by instructors from the LSE, recognized for their expertise in mathematics and statistics education
Requires learners to pass the capstone exam with a score of 60% or higher to obtain the certificate, ensuring a rigorous assessment of knowledge and skills
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