Analysis of Medical Insurance Data
For this project, learners are to do the following: The objective is to find the insurance premium and give the patients' details. The data, which contains various parameters such …
Computer Science · Course
Statistics and Probability for Data Sciences
A comprehensive course on Statistics and Probability for Data Sciences.
- Duration
- 12 weeks
- Content
- 22 hours
- Projects
- 2
- Mode
- Online
OverviewWhat you'll
What you'll
be able to do.
- The students will gain a thorough knowledge of statistics and probability and their use in various machine learning algorithms.
- During the course work, the students will learn about,
- Probability and statistics
- An introduction to,
- Machine learning
- Artificial intelligence
- Deep learning
- Set theory
- Descriptive statistics
- Discrete and continuous probability distribution
- Students are exposed to the modern trends and standard practices followed in the industry right now.
Tools you'll use
Jupyter Notebook
Curriculum10 modules,
10 modules,
built with industry.
01Statistics and Probability for Data Sciences
- Introduction to Machine LearningW01
- This week we will learn about
- Introduction to Artificial Intelligence
- Introduction to Machine Learning
- Supervised, Unsupervised, and Reinforced Learning
- Introduction to Deep Learning
- Modules needed to implement a Machine Learning model
- This week we will learn about
- Set TheoryW02
- This week we will learn about
- Set Theory
- Algebra of Sets
- Venn Diagrams
- This week we will learn about
- ProbabilityW03
- This week we will learn about
- Introduction to Probability
- Axioms of Probability
- Independent events
- Mutually exclusive events
- Conditional Probability
- Bayes Theorem
- This week we will learn about
- StatisticsW04
- This week we will learn about
- Measures of Central Tendence
- Measures of Dispersion
- Measures of Symmetry
- This week we will learn about
- Probability Distribution W05
- This week we will learn about
- Concept of Random variable
- Bernoulli distribution
- Binomial distribution
- Negative Binomial distribution
- Geometric distribution
- Hypergeometric distribution
- Poisson distribution
- Uniform distribution
- Probability mass function and cumulative distribution function
- Brief intro to Gamma exponential and normal distribution
- This week we will learn about
- Continuous Probability DistributionW06
- In this week, we will learn
- Continuous distributions
- Normal Distribution
- Gamma Distribution
- Exponential Distribution
- Lognormal Distribution
- Weibull Distribution
- F Distribution
- T Distribution
- chi square Distribution
- Probabiltiy Density Function
- Cumulative Distribution Function
- In this week, we will learn
- Inferential StatisticsW07
- This week we will learn about
- Sampling
- Probabilistic and Nonprobabilistic methods of Sampling Estimation
- Estimation
- Sample size estimation
- This week we will learn about
- Hypothesis TestingW08
- This week we will learn about
- Introduction to hypothesis testing
- Rejection region
- Critical value
- p-value
- This week we will learn about
- Hypothesis TestingW09
- This week we will learn about,
- z - test
- f - test
- t - test
- Anova - test
- This week we will learn about,
- Non-Parametric TestsW10
- This week we will learn about
- Chi square test
- Mann Whitney U test
- Kruskal Wallis test
- Sign test
- Correlation
- Chi square
- Karl Pearson
- Spearman Coefficient
- Regression between variables
- Implementation of statistical functions in Jupyter notebook
- This week we will learn about
- Introduction to Machine LearningW01
Industry projects2 projects
2 projects
you'll ship.
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.
Analysis of Fermented Drink Data
For this project, learners are to do the following: Analyze the quality of two types of fermented drinks. The student will perform descriptive and inferential statistics on the dat…
Go further
Part of a PG program.
PG program · 24 weeksData Science and Machine LearningThis course plus 5 others, with placement support.→PG program · 24 weeksData Analytics and Data ScienceThis course plus 8 others, with placement support.→PG program · 16 weeksPre-Graduate Program in Data Analytics and Data ScienceThis course plus 3 others, with placement support.→
FeeOne fee.
One fee.
Everything included.
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
Premium
₹40,000
Inclusive of all charges- 1 Year Access
- Personalized Page
- Live Individual & Group Sessions
- Personalized & Hands-On
- Job-Oriented Industry Relevant Curriculum
FAQQuestions,
Questions,
answered.
Who can take the Statistics and Probability for Data Sciences course?
Students and graduates of computer science and related engineering streams can take up the Statistics and Probability for Data Sciences course.
Is Statistics and Probability for Data Sciences an online program?
Yes, the statistics for the data science course are 100% online.
What is the duration of the Statistics and Probability for Data Sciences course?
The advanced topics in statistics for data science can be covered in a duration of 12 weeks.
How are statistics used in data science?
Statistics is the core knowledge essential for any data scientist. Statistics methods are deployed in data science to determine the patterns or behaviour of users.
How much can a data scientist earn?
According to Glassdoor, the average annual salary of a data scientist ranges from INR 4 LPA to 11 LPA. However, your pay package may vary with your experience and expertise.
Is there any certificate for completing the Statistics and Probability for Data Sciences course?
Yes, you shall be given a course completion certificate after completing the Statistics and Probability for Data Sciences course. The top 5% of the scorers will receive a merit certificate alongside the course completion certificate.
Is any technical support available for these statistics for the data science course?
Yes, you can clear your doubts during coursework from our technical support team through email and forum support.
Can you tell me more about Skill-Lync?
Skill-Lync is among India’s leading EdTech platforms dedicated to transforming engineering education. We equip young engineers with the latest skill sets and cutting-edge tools in new-age technologies.
The brainchild of two engineers from Chennai, Skill-Lync, is on a mission to bridge the skill gap between aspiring professionals and the industry’s demands through job-oriented courses.
Related
You might also like.
PG program · 24 weeksData Science and Machine Learning→PG program · 24 weeksData Analytics and Data Science→PG program · 16 weeksPre-Graduate Program in Data Analytics and Data Science→Course · 12 weeksMachine Learning Fundamentals In Depth→Course · 12 weeksMath behind Machine Learning & Artificial Intelligence using Python→Course · 12 weeksIntroduction to Machine Learning Algorithms and their Implementation in Python→
Next stepNot sure it's
Not sure it's
the right fit?
A counsellor will walk you through the syllabus, projects and fee options — and tell you honestly if another course suits you better.