Is this statistical analysis course sufficient for working as a data scientist?

This course provides a foundation. It covers everything from a statistic perspective. But, to become a data scientist, you also need to learn machine learning algorithms, NLP and deep learning which is not covered in this Statistical Analysis course. Students can enroll for those courses separately at our portal.

Can this Statistical Analysis course help me with a certification?

Yes. The course provides a certification that is very reputable and also can be verified by employers for authenticity and correctness.

How much time would I need to devote to this course each week?

Usually, students need to spend 6-8 works per week, but it is totally flexible and if somebody wants to spend 20 hours per week or only 2 hours per week, that is also doable, and they can finish the course at their own pace and comfort.

How is going to be the scope of this Statistical Analysis course 5 years down the line?

Demand for machine learning and AI professionals is only going to increases in time to come. Many surveys predict manifold increases in job creation in this domain. So, there is a huge scope for such skills in the market today and in time to come.

STATISTICS
Specialization | 24 Course Series | 11 Mock Tests

This Statistical Analysis Course includes 24 courses with 139+ hours of video tutorials and One year access.

You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of them. This course covers various statistical concepts covered with statistical tools using Tableau, SPSS, Minitab, SAS, Eviews.

What you'll get

139+ Hours
24 Courses
Mock Tests
Course Completion Certificates
One year access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies

Synopsis

Courses: You get access to all 24 courses, Projects bundle. You do not need to purchase each course separately
Hours: 139+ Video Hours
Core Coverage: This Statistical Analysis course will help you learn statistical tools, and concepts using Tableau, SPSS, Minitab, SAS, Eviews and data science statistics
Course Validity: One year access
Eligibility: Anyone serious about learning statistical analysis and wants to make a career in analytics
Pre-Requisites: Basic knowledge of statistics and data analysis
What do you get? Certificate of Completion for each of the 24 courses, Projects
Certification Type: Course Completion Certificates
Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/LinkedIn profile to showcase your enhanced skills
Type of Training: Video Course – Self Paced Learning

Content

MODULE 1: Statistics Essentials Training

Courses	No. of Hours	Certificates
Statistical Tools in Microsoft Excel	1h 11m	✔
Business Mathematics - Statistics Foundations	7h 31m	✔
Statistics Essentials for Analytics - Beginners	2h 5m	✔

MODULE 2: SPSS & Statistics

Courses	No. of Hours	Certificates
SPSS 2024 - Beginners	1h 07m	✔
SPSS 2024 - Advanced	5h 19m	✔
Advanced SPSS Project: Impact of EMI on Home Loan	43m	✔
Advanced SPSS Project: Impact of Total Turnover in Equity Market	58m	✔
Advanced SPSS Project: Impact of Trade Data in Equity Market	46m	✔
Predictive Analytics & Modeling using SPSS	13h 17m	✔

MODULE 3: Minitab & Statistics

Courses	No. of Hours	Certificates
Minitab for Beginners - 2024	1h 15m	✔
Advanced Minitab Training - 2024	4h 39m	✔
Minitab Practical - Impact of Predictors on Response	1h 35m	✔
Predictive Analytics & Modeling using Minitab	15h 35m	✔

MODULE 4: Statistics with SAS

Courses	No. of Hours	Certificates
SAS Business Analytics for Beginners	10h 45m	✔
Predictive Analytics & Modeling with SAS	9h 19m	✔
Quantitative Finance with SAS	3h 29m	✔

MODULE 5: Statistics with R & EViews

Courses	No. of Hours	Certificates
Business Analytics using R - Hands-on!	16h 21m	✔
Project on R - Card Purchase Prediction	2h 28m	✔
EViews - Introductory Econometrics Modeling	6h 39m	✔
EViews - Advanced	17h 12m	✔

MODULE 6; Tableau & Splunk

Courses	No. of Hours	Certificates
Tableau Desktop Training 2024	4h 21m	✔
Tableau Project-Creating Dashboard and Stories For Financial Markets	2h 08m	✔
Analytics using Tableau	9h 28m	✔
Splunk Fundamentals	8h 33m	✔

MODULE 7: Mock Tests & Quizzes

Courses	No. of Hours	Certificates	Details
Test - Statistics - Complete Forecasting Exam
Test - Statistics - Complete Predictive Modeling Exam
Test - Statistics - Minitab Practice Exam
Test - Statistics - Mock Exam Forecasting
Test - Statistics - SPSS Exam
Test - Statistics - Tableau Mock Exam
Test - Statistics - Tableau Test Series

MODULE 8: Mock Tests & Quizzes

Courses No. of Hours Certificates Details

Test - Complete SAS Exam
Test - SAS 2023 Exam
Test - SAS Ultimate Exam
Test - SAS Beginner Test Series

Courses	No. of Hours	Certificates	Details
Test - Complete SAS Exam
Test - SAS 2023 Exam
Test - SAS Ultimate Exam
Test - SAS Beginner Test Series

Description

Statistical analysis is the science of extracting patterns from data, usually numbers. This statistical analysis course teaches a lot of ideas from standard statistic courses from graduate and post-graduate level. Users can expect to lean following skills from this Statistical Analysis course which are data manipulation & statistics basics, data merging, data creation and modification, examples of merge, statistics definition, variables and its types, calculating variance and standard deviation, calculating covariance and correlation, cumulative frequency, histograms and scatter plot, control flow in statistics, probability & probability distribution, Bayes theorem, random variable & its examples, discrete and continuous example, exponential distribution with practice problem and examples, the expected value of the distribution, gambling and monte hall problem, deal or no deal problem, distribution in advanced details, the expected value of distribution such as binomial and normal, ANOVA, Chi-square test, etc.

Predictive Modeling is also taught in this Statistical Analysis course and it aims to provide and improve predictive Modeling skills across many business domains. Quantitative methods such as time series analysis and predictive Modeling such as linear regression are taught. These concepts could be extensively utilized in understanding customer behavior, churn analysis, financial markets movements and share price forecasting, and studying drugs and its effects in medicine and pharma sectors.

Sample Certificate

Requirements

Following are the pre-requisite for this Statistical Analysis course: –

Students should be comfortable with mathematics. You need not be an expert in it, but you should be able to follow the underlying concepts. Being good with probability is very beneficial as it makes the course 50% easier. A general rule of thumb is if you enjoyed studying mathematics in high school, you should be fine with this course.
Familiarity with at least one programming language. Knowledge of coding and some hands-on exposure with one language is mandatory. It could be any language C, Java, C# anything.
Other than that, there is no hard and fast pre-requisite. Users from any domain such as any field of study or work can join this Statistical Analysis course and understand its content if they meet the above two criteria.

Target Audience

This Statistical Analysis course is suitable for a wide range of audiences. Students or working professionals from engineering, science, commerce, management, and even medicine domains are suitable for this course. Some of the relevant degrees are B. Tech, M. Tech, BCA, MCA, MBA, B. Sc, BS, MS, etc. The Statistics course is suitable for entry-level professionals, seasoned experts, managers, business leaders as well as graduate students. As long as the pre-requisite mentioned above is satisfied, anyone can join this course and can benefit from it.

Course Ratings

Comprehensive course for refresher

Great course for someone like me who's been using Excel everyday but didn't know about data analysis tool available in it. I've always have to open JMP for analysis even just for simple charting and correlation plotting. Now I know I can do that in Excel too. Thanks! 🙂

Michelle Esber
Business Statistics Course

This course is really good. As a business statistics student, I learned many things. I also learned how to draw charts on r console and excel.

Sumeet Deepak Shinde
Good and detailed assessment.

During the course, we're given every small detail about statistics even with proper examples. I'm thrilled with the session and I've gained much knowledge about this. Looking forward to getting more courses from Educba.

Nikhil Kumar
Statistical Tools in Excel: Review

This course was great to attend and learn about Excel's "Data Analytics" add-in function!

Sumari Hattingh Van Niekerk

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