Description
Statistics for Data Science and Business Analytics in Python Course. Welcome to our comprehensive course on Statistics for Data Science and Business Analytics with Python! If you want to gain an in-depth understanding of Statistics for Data Science and Business Analytics and develop the skills needed to excel in the 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’re a beginner looking to build a solid foundation or a seasoned professional looking 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, it’s more important than ever to stay competitive and relevant in your chosen field. This course is designed to give you a comprehensive understanding of Statistics for Data Science and Business Analytics, covering a wide range of topics and concepts to ensure you’re equipped to handle any challenge that comes your way. You’re likely well prepared. From the basics to advanced techniques, we have carefully curated the content to provide you with a comprehensive learning experience. What you can expect from this course:
1. In-depth video content: Our course includes more than 10 hours of detailed video lessons. These videos are designed to make complex topics accessible and engaging. You’ll have the opportunity to learn from experts in the field who will guide you through each concept and ensure you understand not only the theory but also its practical applications.
2. Interactive quizzes: Learning is more effective when it’s interactive. To enhance your understanding, we’ve included 80 quizzes throughout the course. These quizzes are strategically placed to test your knowledge and help you measure your progress. Don’t worry; they’re not just assessment, they’re fun too!
3. Comprehensive lecture series: Over 75 lectures in this course provide an in-depth look at the subject matter. You’ll explore the intricacies of statistics for data science and business analytics and gain insights and practical tips that are valuable for both beginners and seasoned professionals. Our professors are passionate about the subject and their enthusiasm will inspire and motivate you.
4. Real-world applications: We understand that theory alone is not enough, which is why we emphasize real-world applications throughout the course. You’ll learn how to put your new knowledge into practice to excel in your current job or prepare for future opportunities.
5. Access to resources: As a student of 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 the content. You can revisit the content anytime you need a refresher or want to delve into more advanced topics. Your learning journey has no expiration date.
This Statistics for Data Science and Business Analytics with Python course is your gateway to becoming a competent and confident statistician. Whether you’re looking for personal growth, career advancement, or just want to satisfy your curiosity, we’re here to guide you every step of the way. So let’s embark on this exciting journey together, unleash your potential, and discover the limitless opportunities that await you in the world of Statistics for Data Science and Business Analytics. Enroll today and get started!
What you will learn in the Statistics for Data Science & Business Analytics in Python course
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Basic understanding of Python for data analysis with NumPy and Pandas and use of statistical packages such as SciPy and Statsmodels.
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Analyze and visualize data with Python using line charts, bar charts, pie charts, histograms, and box plots.
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Perform univariate and bivariate analyses using one-way and two-way tables.
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Descriptive statistics for univariate and bivariate analyses – 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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Sampling 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 and 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 knowledge
- Data analysts who are familiar with data analysis but want to learn the concepts of statistics to perform detailed analyses.
- Master and research students who want to learn statistics
- Data analysts who are familiar with data analysis in Excel but want to learn statistics with Python
- Data visualization experts who want to explore statistics with Python
Course details: Statistics for Data Science and Business Analytics in Python
- Editor: Udemy
- Surname: Farzan Sajahan
- Training level: beginner to advanced
- Training duration: 10 hours and 39 minutes
- Number of courses: 76
Course topics “Statistics for Data Science & Business Analytics” in Python
Course prerequisites for “Statistics for Data Science & Business Analytics in Python”.
- No programming experience required. In this course you will learn the basics of Python.
- You need a computer with Internet access to install the Jupyter notebook and run Python code.
- To understand statistics and probabilities, you need to have basic mathematical and arithmetic skills.
Course pictures
Sample video of the course
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