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Undergraduate Programme in Introducing Statistics
Friday, 03 May 2024 05:36:10
     

Welcome to our Undergraduate Programme in Introducing Statistics! This dynamic course is designed to equip you with essential statistical concepts and tools to navigate various fields with confidence. Delve into the world of data analysis, interpretation, and decision-making as we explore key modules tailored to provide you with a comprehensive understanding.

In Module 1, we'll lay the foundation by introducing fundamental statistical concepts, including descriptive and inferential statistics. You'll learn how to summarize and visualize data effectively, setting the stage for more advanced analyses.

Moving on to Module 2, we'll dive deeper into probability theory, exploring concepts such as probability distributions, random variables, and hypothesis testing. Gain the skills needed to assess uncertainty and make informed decisions based on probability.

Module 3 focuses on regression analysis, where you'll learn how to model relationships between variables and make predictions using linear and logistic regression techniques. Discover how regression analysis can be applied across various industries to uncover insights and drive strategic decision-making.

In Module 4, we'll explore the fascinating world of experimental design and analysis of variance (ANOVA). Understand how experimental studies are conducted and learn to analyze and interpret the results effectively, enabling you to draw meaningful conclusions from your data.

Finally, in Module 5, we'll discuss advanced topics such as time series analysis and multivariate statistics. Explore techniques for analyzing data over time and handling multiple variables simultaneously, empowering you to tackle complex analytical challenges with confidence.

Throughout the course, you'll engage in quiz-based assessments that reinforce your understanding of each module's concepts. These assessments will not only test your knowledge but also help you track your progress as you journey through the course.

By the end of this programme, you'll emerge with a solid understanding of statistical principles and techniques, ready to apply your newfound knowledge to real-world scenarios. Whether you're pursuing a career in business, healthcare, social sciences, or any other field, our Undergraduate Programme in Introducing Statistics will provide you with the analytical skills needed to excel in today's data-driven world.

Join us on this exciting learning journey and unlock the power of statistics to drive informed decision-making and achieve your academic and professional goals!



present_to_all   PURSUE YOUR DREAMS - GAIN A RESPECTED QUALIFICATION STUDYING ONLINE

The programme aims to develop pro-active decision makers, managers and leaders for a variety of careers in business sectors in a global context.
Why choose LSPM ?
● Your qualification is recognised and accepted world over.
Experience online study like never before with our purpose built smart learning tools which gives you advantage of studying anytime and anywhere.
Flexible payment plans , pay fee in easy monthly, quarterly or yearly instalments.
Fast track mode - attain your qualification in just 6 months !
Dedicated Tutor Support via live chat.
Course content

Welcome to our Undergraduate Programme in Introducing Statistics! This comprehensive course offers a deep dive into essential statistical concepts and tools, empowering you to navigate diverse fields with confidence. Let's explore the curriculum in detail:

Module 1: Fundamentals of Statistics
- Dive into descriptive and inferential statistics
- Learn to summarize and visualize data effectively
- Lay the foundation for more advanced analyses

Module 2: Probability Theory
- Explore probability distributions and random variables
- Master hypothesis testing techniques
- Gain skills to assess uncertainty and make informed decisions

Module 3: Regression Analysis
- Understand linear and logistic regression techniques
- Model relationships between variables and make predictions
- Apply regression analysis in various industries for strategic decision-making

Module 4: Experimental Design and ANOVA
- Learn about experimental studies and their design
- Analyze and interpret results using analysis of variance (ANOVA)
- Draw meaningful conclusions from experimental data

Module 5: Advanced Topics in Statistics
- Explore time series analysis for data over time
- Understand multivariate statistics for handling multiple variables
- Tackle complex analytical challenges with confidence

Assessments:
- Engage in quiz-based assessments after each module
- Reinforce understanding and track progress throughout the course
- Test your knowledge and application of statistical concepts

Join us on this exciting learning journey and unlock the power of statistics to drive informed decision-making and achieve your academic and professional goals!

Enroll now and take the first step toward mastering statistical analysis in today's data-driven world.

❶   Course duration
The programme is available in two duration modes:
1 month
2 months
❷   Course Delivery

Online

❸   Entry Requirements
  • The program operates under an open enrollment framework, devoid of specific entry prerequisites. Individuals demonstrating a sincere interest in the subject matter are cordially invited to participate. Participants must be at least 18 years of age at the commencement of the course. OR;
❺   Assessment

The assessment is done via submission of assignment. There are no written exams.

❻   Course fee
The fee for the programme is as follows:

1 month - GBP £149


2 months - GBP £99
❼   Payment plans

1 month - GBP £149

2 months - GBP £99
❽   Accreditation

  • This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regula

❾   How to apply?

Simply follow the 2 steps given below to enrol:

(1) Fill enrolment form online at
https://www.lspm.org.uk/enrolment-v2/start.html

(2) Pay enrolment fee of GBP £15
(This can be paid online using credit or debit card)

Request free information

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