Business Statistics for Data Science
Understand Business Statistics for Data Science
Satyajit Pattnaik
Instructor
What you will learn?
- Understand Key Statistical Concepts: Grasp fundamental concepts in descriptive and inferential statistics, enabling you to analyze data effectively.
- Implement Descriptive Analytics: Use descriptive analytics techniques to summarize and visualize data, aiding in effective communication of findings.
- Engage in Practical Applications: Participate in hands-on practicals that reinforce theoretical knowledge and enhance your analytical skills in real-world scenarios.
- Be ready to jump into the next steps of learning for Data Analytics & Data Science
This Course Includes
- Recorded Lessons: 58
- Recorded Hours: 6
- Duration: 6 days (Avg)
- TD Assessment Available
- Access on Mobile
Course Description
Unlock the power of data with our comprehensive Business Statistics course! Designed for beginners and those looking to refresh their knowledge, this course takes you from the very basics to advanced statistical concepts, ensuring you gain a solid foundation in statistical analysis.
Course Highlights:
Introduction to Statistics: Start with the essentials, understanding the types of data and the importance of statistics in business decision-making.
Descriptive and Inferential Statistics: Learn how to summarize data effectively and make inferences about populations based on sample data.
Sampling Techniques: Discover various sampling methods, including probability and non-probability sampling, and understand why sampling is crucial for accurate data analysis.
Measures of Central Tendency and Dispersion: Dive into mean, median, mode, and measures of dispersion like variance and standard deviation to analyze data distributions.
Probability Concepts: Explore the fundamentals of probability, including the addition rule, independent events, and Bayes' theorem, to understand uncertainty in data.
Probability Distributions: Gain insights into different distributions such as uniform, binomial, Poisson, and normal distributions, and learn how to calculate probabilities using Z-scores.
Covariance and Correlation: Understand the relationship between variables through covariance and correlation, and learn how to interpret these measures.
Hypothesis Testing: Master the art of hypothesis testing, including T-tests, Z-tests, and Chi-square tests, to validate your business assumptions.
By the end of this course, you will be equipped with the statistical tools and techniques necessary to analyze data effectively and make informed business decisions.
Join us and take the first step towards becoming a data-savvy professional!
Course Content
57 Lessons | 5hr 24min | 1 Materials for reading
Hey,
Click here to download the presentation used for Statistics: https://drive.google.com/file/d/1IK2q0D0P05SYTQiErUIMmg7vYI_AtvSx/view?usp=sharing
Enjoy!!
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