Description
Statistics for Data Science & Business Analytics in Python course. Welcome to our comprehensive course on Statistics for Data Science and Business Analytics using Python! If you are looking to gain an in-depth understanding of Statistics for Data Science & Business Analytics and develop the skills necessary to excel in this field, you have come to the right place. With over 10 hours of engaging video content, over 75 informative lectures and 16 thought-provoking quizzes, this course is designed to take you on a transformative learning journey. Whether you are a beginner looking to build a solid foundation or a seasoned 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 important than ever. This course aims to empower you with a comprehensive understanding of statistics for data science and business analytics, covering a wide range of topics and concepts to ensure that you are ready for any challenge that comes your way. You are likely to be well prepared. From the basics to advanced techniques, we’ve carefully curated the content to provide you with a comprehensive learning experience. What to expect from this course:
1. In-depth video content: Our course has more than 10 hours of detailed video lessons. These videos are designed to make complex topics accessible and engaging. You will have the opportunity to learn from experts in the field who will guide you through each concept and ensure that you understand not only the theory but also its practical applications.
2. Interactive tests: Learning is more effective when it is interactive. To enhance your understanding, we have included 80 quiz questions throughout the course. These tests are strategically placed to test your knowledge and help you measure your progress. Do not worry; They’re not just for assessment purposes – they’re also fun!
3. Comprehensive lecture series: Over 75 lectures in this course provide a deep dive into the subject matter. You’ll explore the intricacies of statistics for data science and business analytics, gaining insights and practical tips that are valuable to both beginners and seasoned professionals. Our professors are passionate about this subject 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 will learn how to put your new 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 will have access to many resources including Python notebooks and datasets. These resources are designed to enhance your learning experience and provide you with valuable resources for future reference.
6. Lifetime Access: Once you enroll in this course, you will have lifetime access to all content. You can revisit the content whenever you need a refresher or want to explore more advanced topics. Your learning journey has no expiration date.
This course on Statistics for Data Science and Business Analytics using Python is your gateway to becoming a proficient and confident statistician. Whether you’re looking for personal growth, career advancement, or simply 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 and business analytics. Sign up today and let’s get started!
What you will learn in Statistics for Data Science & Business Analytics in Python course
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Basic understanding of Python for data analysis using NumPy and Pandas and use of statistical packages such as SciPy and statsmodels.
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Analyze and visualize data using Python using line graphs, bar graphs, pie charts, histograms and box plots.
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Perform univariate and bivariate analysis using one-way tables, two-way tables.
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Descriptive statistics for univariate and bivariate analysis – mean, median, mode, range, IQR, variance, standard deviation, covariance and correlation.
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Data distribution including mean, variance and standard deviation, T and normal distribution and z score.
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Probability, including union versus intersection, independent and dependent events, and Bayes theorem.
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Sample distribution, central limit theorem and back intuition using the central limit theorem in hypothesis testing.
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Hypothesis testing includes inferential statistics, significance level, type I and II errors, test statistics and p values. Test of proportions and chi square
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Simple linear regression using manual method as well as using OLS package in Python, multiple linear regression and prediction using regression model.
This course is suitable for people who
- Anyone who wants to build a career in data science but lacks basic statistics skills
- Data analysts who are familiar with data analysis but want to learn concepts in statistics to be able to perform detailed analysis.
- Masters and research students who wish to learn statistics
- Data analysts who are familiar with data analysis in Excel but want to learn statistics using Python
- Data visualization experts who want to explore statistics using Python
Details of the Statistics for Data Science & Business Analytics course in Python
- Publisher: Udemy
- teacher: Farzan Sajahan
- Training level: beginner to advanced
- Training duration: 10 hours and 39 minutes
- Number of courses: 76
Statistics for Data Science & Business Analytics course topics in Python
Statistics for Data Science & Business Analytics in Python course prerequisites
- No programming experience required. You will learn the python basics 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.
Course images
Sample video of the course
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download link
File(s) password: www.downloadly.ir
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