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The necessary statistics for the office include descriptive and inferential statistics, hypothesis testing, and regression analysis.

This course covers:

This comprehensive course is perfect for those looking to learn more about a certain topic. It includes 5 hours of on-demand video, 28 articles, 98 downloadable resources, and access on mobile and TV. Every lead by experienced professionals in the industry. Students will be provided with practical examples and guidance to help them master concepts quickly and easily, advancing their knowledge of the subject matter.

At the conclusion of this quality learning experience, students will receive a certificate of completion to further document their learned skills and boost their credentials in related fields. Plus, they’ll have access to additional learning resources which can help deepen their understanding of the material covered in the course. Whether you’re just starting out or need a refresher on a certain aspect of the topic, this course has something for everyone!

What you'll learn

Gain a basic understanding of statistics.

Gain knowledge on working with various forms of data.

A guide on plotting various types of data.

Please calculate the measures of central tendency, asymmetry, and variability.

Please calculate the correlation and covariance.

Differentiate and engage with various types of distributions.

Calculate the confidence intervals.

Conduct hypothesis testing.

Make decisions based on data.

Learn the principles of regression analysis.

Perform regression analysis.

One should use and understand dummy variables.

Learn the necessary concepts for data science using Python and R.

Description

With the rapid emergence of data-driven jobs in business, it is becoming increasingly important to acquire the quantitative skills needed to succeed in a modern workplace. Statistics for Data Science and Business Analysis offers an outstanding opportunity to do just that. It provides the essential guidance required to begin on the journey toward building a successful career as a Marketing Analyst, Business Intelligence Analyst, Data Analyst or Data Scientist.

Statistics for Data Science and Business Analysis offers helpful resources designed to improve one’s understanding of key statistical concepts. It provides comprehensive coverage of topics including descriptive statistics, probability distributions, hypothesis testing, correlation and regression analysis, and machine learning algorithms. Additionally, there are also downloadable Excel templates available which enable immediate application of learnt concepts in popular software applications. All these allow users to quickly build their core competency on advanced analytics techniques with confidence. This makes Statistics for Data Science and Business Analysis an ideal choice for anyone interested in mastering the quantitative skills necessary for success in data-driven jobs today.

You will quickly learn the necessary skills to understand complex statistical analysis that can be applied directly to real-life situations.

We have developed a course that is easy to understand, comprehensive, practical, packed with exercises and resources, data-driven, teaches data visualization, introduces statistical scientific language, and covers the main pillars of quantitative research.

It is widely known that many of these topics have been explained online. On numerous occasions. It is difficult to find a structured program that provides a comprehensive understanding of the frequent use of certain statistical tests. Modern software packages and programming languages automate many of these activities, but this course provides a more valuable skill - critical thinking abilities. Computers and programming languages have similarities to ships at sea. The vessels are capable of transporting you to your desired destination, but it is your responsibility, as an aspiring data scientist or BI analyst, to navigate and direct them correctly.

Teaching is a profession we are passionate about.

We dedicated extensive time and effort to develop a comprehensive Statistics course that aims to provide maximum value to learners. The course aims to be engaging in order to help you succeed. By subscribing, you will receive high-quality animations, superb course materials, quiz questions, handouts and course notes, as well as a glossary with all new terms you will learn.

What sets this course apart from other Statistics courses?

The production quality is high, with HD video and animations. It is not a collection of boring lectures.

The instructor is highly skilled in mathematics and statistics, with experience at an international level.

The training will cover all major statistical topics and skills required for a career as a marketing analyst, business intelligence analyst, data analyst, or data scientist.

The case studies provided offer extensive reinforcement of the knowledge you have gained.

Our support team is available to assist you with any questions or inquiries you may have, and you can expect a response within 1 business day.

We aim to be efficient and not waste your time. The instructor maintains a consistent pace throughout the entire course.

What is the purpose or benefit of acquiring these skills?

Careers in the field of data science are highly sought after in the corporate world today due to their popularity. Additionally, as more businesses recognize the benefits of utilizing their available data, this trend is expected to further expand.

Understanding Statistics can support your business ideas with quantitative evidence, leading to potential career growth through promotions.

The demand for individuals who possess a strong understanding of numbers and data, and the ability to interpret them, is rapidly increasing. It is well-known that a significant number of jobs will soon be automated. Data science careers involve automation, rather than being automated themselves.

The job of growth is not boring. On a daily basis, individuals encounter various challenges that assess their current abilities and necessitate acquiring new knowledge.

Please note that the course includes Udemy's 30-day unconditional money-back guarantee. And why wouldn't we offer such a guarantee? We believe this course will offer a significant amount of value for you.

This course is intended for:

This course is aimed at people who want a career in the world of data science and business intelligence. It is an ideal choice for business analysts, executives, and individuals passionate about numbers and quant analysis. The course covers several key concepts which are integral to this field, such as understanding statistics and its application in the business world. By taking this course, learners will have a holistic view of the various topics related to data science including programming languages such as Python and R, big data processing tools, machine learning algorithms from both supervised and unsupervised domains as well more specific domain-specific techniques related to finance or marketing analytics.

The course provides detailed insights into how these tools work by demonstrating use cases through real-world scenarios which come with challenges that can be solved using these intricate technologies. For anyone interested in a career in business intelligence or seeking a comprehensive introduction to analytics without any prior knowledge required, then this is the course for them! With dedicated focus on hands-on practice and enrichment activities learners can confidently enter the industry with skill sets achieved through this course.

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