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Statistics For Data Science Course
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This Statistics For Data Science Course course on LearnVern is completely free. It will provide a comprehensive understanding of the topic and its practical applications.
Free Course
#1
See all ranking
Statistics For Data Science Course
by
Learnvern
This Statistics For Data Science Course course on LearnVern is completely free. It will provide a comprehensive understanding of the topic and its practical applications.
Free Course
#1
See all ranking
2 Modules
with Certifications
2+ Hours
of Recorded Content
4.6 Rated
by 10000 Learners
English
Language
2 Modules
with Certifications
2 + Hours
of Recorded Content
4.6 Rated
by 10000Learners
Read all Reviews
English
Language
Key Features:
This course is completely Free
100% online and Self-paced learning
Available in Multiple languages
Access on Mobile and TV
Full lifetime access to all content
Downloadable Resources
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Introduction to Statistics for Data Analysis and Data Science
Introduction to Statistics For Data Analysis and Data Science
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Getting Started with Statistics
Fundamentals of Statistics
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Descriptive Statistics
- Basics of Descriptive Statistics
- Measures of Frequency
- Measures of Central Tendency - Mean
- Measures of Central Tendency - Median
- Measures of Central Tendency - Mode
- Measures of Variability - Mean Absolute Deviation
- Measures of Variability - Variance
- Measures of Variability - Standard Deviation
- Measures of Position
- Measures of Shape - Skewness
- Measures of Shape - Kurtosis, Box and Whisker Plot
- Assignment : Descriptive Statistics
- Quiz : Descriptive Statistics
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Inferential Statistics
- Basics of Inferential Statistics
- Introduction to Probability
- Basics of Probability
- Probability Distribution
- Discrete Probability Distribution
- Continuous Probability Distribution
- Uniform Distribution
- Normal Distribution
- Standard Normal Distribution
- Log Normal Distribution
- Exponential Distribution
- Methods to Detect Outliers
- Methods to Treat Outliers in Python
- Feature Scaling - Normalization V/S Standardization
- Sampling Methods
- Sampling Distribution
- Central Limit Theorem
- Assignment : Inferential Statistics
- Quiz : Inferential Statistics
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Hypothesis Testing
- Hypothesis Testing in Data Science
- Null and Alternative Hypothesis
- Making a Decision - Reject or Fail to Reject Null Hypothesis
- Type I and Type II Errors
- Covariance and Correlation Coefficients
- Types of Correlation Coefficients
- Assignment : Hypothesis Testing
- Quiz : Hypothesis Testing
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Types of Hypothesis Testing
- Types of Statistical Tests
- Z-Test: Critical Value Method
- Examples of Z-Test: Critical Value Method
- Z-Test: P-Value Method
- Examples of Z-Test: P-Value Method
- T-Test: One Sample Mean Test
- T-Test: Paired Two Sample Mean Test
- T-Test : Unpaired Two-Sample Mean Test
- Two Sample Proportion Test
- Chi-Square Test: Independence Test
- Chi-Square Test: Goodness of Fit
- ANOVA Test or F-Test
- Assignment : Types of Hypothesis Testing
- Quiz : Types of Hypothesis Tests
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Fundamentals of Regression Analysis
- Basics of Linear Regression Analysis
- Assumptions of Linear Regression
- Multiple Linear Regression Analysis
- Quiz : Regression Analysis
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Course Summary
Course Summary
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Interview Questions
Interview Questions
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Career Guideline
Career Guideline
Course Offerings
Certificate you will get
NSDC Certificate of Partnership with LearnVern.
Help build strong resume.
Great add-on to get Internship.
Upgrade your Job with this certificate proof.
Pre Requsites
Basic proficiency in reading and writing.
Familiarity with using technology for research and assignments.
A curious mind and willingness to participate actively.
Course is for
Freshers
Professionals
Students
FAQ's
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Can LearnVern’s course help understand, ‘what is the difference between Data Science and Statistics?’Statistics is the study of data and principles that one can apply on it to derive meaningful information. Data Science applies statistical procedures to create automated research models that help make predictions useful for businesses. This difference is presented quite clearly in LearnVern’s Statistics Course for Data Science.
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Where can I learn Statistics For Data Science in a self-paced manner?The online course available at LearnVern offers you the correct resource to learn Statistics for Data Science. This course is available on devices with iOS and Android functionality. Students can visit the tutorial multiple times to attain perfection. Thus, they can control the pace and choose a schedule as per their convenience.
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What modules are included in LearnVern’s Statistics for Data Science Course?In the Statistics Tutorial for Data Science at LearnVern, the modules comprise an introduction to Statistics and descriptive statistics. The students can find answers to questions like, ‘what is Statistics in Data Science?’ that offer basic learning. In Descriptive Statistics, they learn about topics like data frequency, measures of shape, central tendency (mean, mode, median), etc. With lots of real-life examples and case studies, the trainers explain these concepts in a job-oriented manner.
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How LearnVern’s features ensure complete learning of Statistics concepts used in Data Science?LearnVern has incorporated a lot of learning-oriented features. The course comprises a tutorial that provides both the conceptual learning and the practical application of Statistics principles. The medium of instruction is Hindi, which helps Hindi Medium students to learn with ease. A discussion board provided at the end of the tutorial allows students to discuss with other students and solve queries. Assignment and quizzes are also offered at the end of the tutorial to self-check the learning attained. All these features ensure that students are fully conversant with the Statistics for Data Science concepts.
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What are the charges for joining the LearnVern Statistics for Data Science Course?LearnVern does not charge any fee for courses available here. Students from all financial backgrounds with access to mobile devices and computers can do the courses free of cost here. Also, they get lifetime access to course materials once they register with LearnVern.
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Who can benefit the most from the Statistics tutorial for Data Science?Undergraduate and graduate students, Data Analysts and Scientists, and Statisticians can pursue their careers in Data Science by joining this tutorial. The aspirants who want to work as a mentor to others or trainers can also learn new skills and guide others on time-relevant topics.
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What jobs can one do after learning Statistics as used in Data Science?Learners can employ this branch of math in Data Science to do various high-paying jobs such as Data Analyst, Business Intelligence Analysts, Data Analytics Consultants, Market Researchers, etc. These jobs can offer the candidates salaries in the range of 2 lacs to 20 lacs annually.
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Can I do LearnVern’s course to learn advanced statistical methods in Data Science along with my job?Yes. By offering the courses on mobile devices and flexible timings, the students can do new courses at the time and place of their choice. They need not leave their current jobs to enrich their skill-set. It helps them take a big leap in their careers without losing the current source of earning.
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