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This Statistics course for Data Science is created to make you proficient in this domain by teaching you the core concepts and techniques in this domain, such as standard deviation, data visualization, binomial distribution, normal distribution, etc.
The modules that will be taught to you in this training program are as follows:
Listed below are the reasons why you must upskill yourself through this course:
This Statistics for Data Science tutorial program is designed for the following individuals:
No. There are no prerequisites to sign up for this online course. This training program covers basic statistics for Data Science along with advanced level topics.
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1.1 Descriptive statistics basics
1.2 Mean, median, and mode
1.3 Standard deviation
1.4 Use of the central tendency measures
1.5 Bayes Theorem
2.1 Types of visualization
2.2 Calculation and interpretation of graphs, plot, and measures
3.1 Basics of probability distributions
3.2 Poisson probability function
3.3 Binomial distribution
3.4 Normal distribution
3.5 Probability distribution applications
4.1 Tests to deal with data and their relationships
4.2 Assumptions taken in the tests
4.3 Language while interpreting the outcome of hypothesis tests
5.1 Use of Python for regression analysis
5.2 Test relationships and differences in sample means
5.3 Interpret the results of these tests
Statistics for Data Science Course Projects
Intellipaat’s Statistics for Data Science online course is conducted by industry experts from major organizations with years of industry experience. Our online Statistics for Data Scientists course is designed to make you an expert in this domain that will help you gain in-depth knowledge of statistics. In this course, we will provide you online assistance for your queries and lifelong access to the complete courseware.
Our industry-based projects and case studies will give you practical experience in the specific modules, enhancing your learning experience. Once you complete your assignments, you will receive Intellipaat’s course completion certification recognized by major organizations in the world and become a successful Data Scientist with excellent statistical skills. Besides, our placement team will guide you through your resume, conduct several mock interviews, etc. to make you job-ready.
Land Your Dream Job Like Our Alumni
You must learn Statistics for Data Science from Intellipaat as it offers one of the best training programs. Data Scientists are among the highest in-demand IT professionals today, earning more than most occupations. This course is specifically designed for professionals who wish to brush-up their skills in the Statistics for Data Science profession.
Our trainers will help you acquire the necessary skills through theoretical and practical knowledge via lectures and assignments. At Intellipaat, we aim to make you job-ready through multiple interviews, resume preparation, and so on. Finally, you will receive the course completion certificate from us on successfully completing the course.
3 technical 1:1 sessions per month will be allowed.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.