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110 students
Statistics for Data Science & Business Analytics in Python
Apply Statistics in Real World Business Problems Using Python. Build a Career in Data Science and Business Analytics.
Created byFarzan Sajahan
Last updated 10/2023
English
What you'll learn
- Foundational understanding of python to analyze data using NumPy and Pandas, and use statistical packages such as SciPy and statsmodels.
- Analyzing and visualizing data using python using line charts, bar charts, pie charts, histogram and box plots.
- Conducting univariate and bivariate analysis using one-way tables, two-way tables.
- Descriptive statistics for univariate and bivariate analysis - mean, median, mode, range, IQR, variance, standard deviation, covariance and correlation.
- Data distributions, including mean, variance, and standard deviation, T-distribution and normal distributions and z-scores.
- Probability, including union vs. intersection and independent and dependent events and Bayes' theorem.
- Sampling distribution, central limit theorem and intuition behind using central limit theorem in hypothesis testing.
- Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values. Test of proportions and chi-squar
- Simple Linear Regression using manual method as well as using OLS package in python, Multiple Linear regression, and predicting using the regression model.
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Course content
16 sections • 76 lectures • 10h 38m total length
Requirements
- No programming experience required. You will learn the python foundations in this course.
- You will need a computer with internet access to install Jupyter notebook and run python codes.
- You will need to have basic math and arithmetic skills to be able to understand statistics and probability.
Description
Welcome to our comprehensive course on Statistics for Data Science & Business Analytics using Python! If you're looking to gain a deep understanding of Statistics for Data Science & Business Analytics and develop the skills necessary to excel in this field, you've come to the right place. With over 10 hours of engaging video content, 75+ informative lectures and 16 thought-provoking quizzes, this course is designed to take you on a transformative learning journey. Whether you're a novice looking to build a solid foundation or an experienced professional aiming to refine your expertise, this course promises to equip you with the knowledge and tools you need to succeed.
In today's fast-paced world, staying competitive and relevant in your chosen field is more crucial than ever. This course aims to empower you with a comprehensive understanding of Statistics for Data Science & Business Analytics, covering a wide range of topics and concepts to ensure you're well-prepared for any challenges that come your way. From the fundamentals to advanced techniques, we've carefully curated the content to provide you with a holistic learning experience.
About the Instructor:
This course will be taught by Farzan Sajahan, who has an executive MBA from Rotterdam School of management with over 18 years of experience in data analytics and management consulting. He has worked extensively in data analytics and operations management. He has been teaching data science for the last 4 years to over 60,000 students. He is running a management consulting firm based out of India.
What to Expect from This Course:
1. In-Depth Video Content: Our course boasts more than 10 hours of meticulously crafted video lessons. These videos are designed to make complex topics accessible and engaging. You'll have the opportunity to learn from expert in the field who will guide you through each concept, ensuring that you not only understand the theory but also its practical applications.
2. Interactive Quizzes: Learning is most effective when it's interactive. To reinforce your understanding, we've included 80 quiz questions throughout the course. These quizzes are strategically placed to test your knowledge and help you gauge your progress. Don't worry; they're not just for assessment purposes—they're also fun!
3. Comprehensive Lecture Series: The 75+ lectures included in this course provide a deep dive into the subject matter. You'll explore the intricacies of Statistics for Data Science & Business Analytics, gaining insights and practical tips that are valuable for both beginners and experienced professionals. Our lecturers are passionate about the topic, and their enthusiasm will inspire and motivate you.
4. Real-World Applications: We understand that theory alone is not enough. That's why we emphasize real-world applications throughout the course. You'll learn how to put your newfound knowledge into practice, enabling you to excel in your current job or prepare for future opportunities.
5. Access to Resources: As a student in this course, you'll have access to a wealth of resources, including python notebooks and datasets. These resources are designed to enhance your learning experience and provide you with valuable references for future use.
6. Lifetime Access: Once you enroll in this course, you'll have lifetime access to all the materials. You can revisit the content whenever you need a refresher or want to explore more advanced topics. Your learning journey doesn't have an expiration date.
This course on Statistics for Data Science & Business Analytics using Python is your gateway to becoming a proficient and confident Statistics practitioner. Whether you're seeking personal growth, career advancement, or simply looking to satisfy your curiosity, we're here to guide you every step of the way. So, let's embark on this exciting journey together, unlock your potential, and discover the limitless possibilities that await you in the world of Statistics for Data Science & Business Analytics. Enroll today and let's get started!
Who this course is for:
- Anyone who wants to build a career in data science but lacks the foundational skills in statistics
- Data analysts who are familiar with analyzing data but want to learn concepts in statistics to be able to do rigorous analysis
- Masters and research students who would like to learn statistics
- Data analysts who are familiar with data analysis in excel but want to learn statistics using python
- Data visualization experts who would like to explore statistics using python