Best online courses for Statistics Hons: Statistics is a very popular choice among students when it comes to choosing a course after passing out of school. A Hons degree in statistics has a very wide career scope. When the degree is complimented with certificate courses that make the student more skilled, professional and prepared for the career aspect, it is an added incentive.
These best online courses for statistics Hons will give you an edge in comparison to the other candidates when you step out in the competitive world.
There are innumerable courses available online which are beneficial for both students and working professionals who wish to learn and gain additional skills related to the field of statistics.
Here is a guide for you to explore all the best online courses for statistics Hons available on Coursera.
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WHAT IS COURSERA?
An American massive open online course (MOOC) provider, COURSERA, was founded in the year 2012 by Computer Science professors of Stanford University, namely Andrew Ng and Daphne Koller. Coursera was started to provide specializations, degree professional, and master track courses and offer massive open online courses (MOOC). Coursera aims to provide a life-transforming learning experience to learners anywhere around the world.
Coursera partners and works with other organizations and universities to offer online courses, degrees, and certifications in a huge variety of subjects.
Since Coursera was started, the variety and collection of courses being offered have extensively expanded. The course collections and Specializations offered to build skills in specific subjects, help earn degrees and workforce development products for government organizations and businesses.
To bring affordable, flexible, and job-relevant online learning for both individuals and organizations across the world, Coursera partners with more than 200 leading Universities and companies.
Right from degree programs, hands-on-projects, and courses to job-ready certificates and career credentials and a lot more, Coursera offers a wide range of learning opportunities.
To access world-class learning—anytime, anywhere, everyone including 75+ million learners, 100+ Fortune 500 companies, and more than 6,400 campuses, businesses, and governments, come to the one-stop solution- Coursera.
WHAT ALL TO EXPECT IN ANY COURSE ON COURSERA:
- Shareable Specialization and Course Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Programming Assignments
- Financial Aid in the majority of courses
BEST ONLINE COURSES FOR STATISTICS HONS:
(1) STATISTICS WITH PYTHON SPECIALIZATION
OFFERED BY: UNIVERSITY OF MICHIGAN
This is a specialization course that is designed to teach the learners about both beginning and intermediate concepts of statistical analysis using the python programming language. From the aspects like what types of data can be collected, where the data come from, data management, data design, and also how to carry out data visualization and exploration effectively. Learners will be able to interpret inferential results, construct confidence intervals, utilize data for estimation and assessing theories, and apply more advanced statistical modeling procedures. The learning through this course will enable the candidates to connect research questions to the statistical and data analysis methods which will be taught in this course structure.
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- Python Programming
- Data Visualization (DataViz)
- Statistical Model
- Statistical inference methods
- statistics data Analysis
- Confidence Interval
- Statistical Inference
- Statistical Hypothesis Testing
- Bayesian Statisticsstatistical regression
TO START LEARNING THIS COURSE CLICK HERE!
(2) BASIC STATISTICS
OFFERED BY: UNIVERSITY OF AMSTERDAM
For any course related to the field of statistics, it is very important to understand the basics of statistics and to understand the research in the social and behavioral sciences. Through this course of Coursera, the learner will be able to learn basic related to statistics and not just how to calculate but also to evaluate them. This course is a basic step for the higher-level courses related to statistics.
TO START LEARNING THIS COURSE CLICK HERE!
(3) ADVANCED STATISTICS FOR DATA SCIENCE SPECIALIZATION
OFFERED BY: JOHN HOPKINS UNIVERSITY
The foundational knowledge, which is offered under this course will benefit those learners who aspire to become biostatisticians and data scientists. The building blocks of the data science work are statistics, probability, and linear models. Anyone can learn the behind-the-scenes mechanism of key modeling tools like linear regression and least-squares in data science.
Confidence intervals, bootstrapping, binomial proportions, probability, expectations, conditional probabilities, and distributions are among many things you will learn about in this one of the best online courses for statistics Hons.
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- R Programming
- Linear Regression
- Statistical Hypothesis Testing
- Statistics
- Linear Algebra
- Confidence Interval
- Biostatistics
TO START LEARNING THIS COURSE CLICK HERE!
(4) STATISTICS WITH R SPECIALIZATION
OFFERED BY: DUKE UNIVERSITY
From the Specialization that demonstrates mastery of statistical data analysis, the learner will produce a portfolio of data analysis projects, from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.
The candidate will learn about analyzing and visualizing the data in R. You will be able to create reproducible data analysis reports. You will also be able to demonstrate a conceptual understanding of the unified nature of statistical inference, communicate statistical results correctly, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions. The learner will also be able to critique data-based claims and evaluated data-based decisions without relying on statistical jargon.
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- Bayesian Statistics
- Linear Regression
- Statistical Inference
- R Programming
- Statistics
- Rstudio
- Exploratory Data Analysis
- Statistical Hypothesis Testing
- Regression Analysis
- Bayesian Linear Regression
- Bayesian Inference
- Model Selection
TO START LEARNING THIS COURSE CLICK HERE!
(5) METHODS AND STATISTICS IN SOCIAL SCIENCES SPECIALIZATION
OFFERED BY: UNIVERSITY OF AMSTERDAM
Research questions about the design and statistical analysis for social science and even research methods are included in this specialization course. Learners will apply all the skills they learned in this course by gathering data, analyzing and reporting the results using statistical methods, and developing their research questions.
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- Statistics
- Statistical Inference
- R Programming
- Qualitative Research
- Confidence Interval
- Statistical Hypothesis Testing
- Regression AnalysisAnalysis Of Variance (ANOVA)
TO START LEARNING THIS COURSE CLICK HERE!
(6) SPECIALIZATION IN DATA SCIENCE: STATISTICS AND MACHINE LEARNING
OFFERED BY: JOHN HOPKINS UNIVERSITY
This one of the best online courses for statistics Hons is a specialization course that is most suited for those candidates who have already learned and mastered the fundamentals of the field and wish to skip to an advanced level course. This course develops on the basic level course of Data Science: Foundations using R specialization. Statistical inference, regression models, machine learning, and the development of data products are covered under this course. Learners will develop a data product using real-world data in the capstone project by applying the skills learned throughout the course. Learners will receive a portfolio after the course, which will demonstrate their mastery of the material in this field.
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- Machine Learning
- Github
- R Programming
- Regression Analysis
- Data Visualization (DataViz)
- Statistics
- Statistical Inference
- Statistical Hypothesis Testing
- Model Selection
- Generalized Linear Model
- Linear Regression
- Random Forest
TO START LEARNING THIS COURSE CLICK HERE!
(7) BUSINESS STATISTICS AND ANALYSIS SPECIALIZATION
OFFERED BY: RICE UNIVERSITY
This course has been designed to equip the learner with a basic understanding of business data analysis tools and techniques and to enable them to master build descriptive business data measures, develop their aptitude for data modeling, and also help them master essential spreadsheet functions. Learners will explore basic probability concepts like modeling and measuring uncertainty. In the capstone project under this specialization, the learners will have to apply their knowledge and skills to an actual business problem.
It is an essential requirement that students must have access to a Windows version of Microsoft Excel 2010 or later, to complete all course assignments successfully.
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- Microsoft Excel
- Linear Regression
- Statistical Hypothesis Testing
- Lookup Table
- Data Analysis
- Pivot Table
- Statistics
- Statistical Analysis
- Normal Distribution
- Poisson Distribution
- Log–Log Plot
- Interaction (Statistics)
TO START LEARNING THIS COURSE CLICK HERE!
(8) PROBABILITY AND STATISTICS: To p or not top?
OFFERED BY: UNIVERSITY OF LONDON
Quantifying uncertainty with probability, the basics of hypothesis testing, point and interval estimation of means and proportions, descriptive statistics, and a selection of multivariate applications of key terms and concepts are some of the key topics included in the course.
TO START LEARNING THIS COURSE CLICK HERE!
(9) MATHEMATICS FOR MACHINE LEARNING SPECIALIZATION
OFFERED BY: IMPERIAL COLLEGE LONDON
Mathematics for Machine learning specialization freshens up the basic concepts anyone would require to be aware of, before pursuing an advanced level course.
Getting the learner up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science are some of the aims of this specialization.
The first course is about Linear Algebra, the second about Multivariate Calculus, and the third is about Dimensionality Reduction with Principal Component Analysis. You will gain the pre-requisite mathematical knowledge which will help you to continue your journey and take more and more advanced courses in this field.
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- Eigenvalues And Eigenvectors
- Principal Component Analysis (PCA)
- Multivariable Calculus
- Linear Algebra
- Basis (Linear Algebra)
- Transformation Matrix
- Linear Regression
- Vector Calculus
- Gradient Descent
- Dimensionality Reduction
- Python Programming
TO START LEARNING THIS COURSE CLICK HERE!
(10) START ON YOUR PATH TO A CAREER IN DATA ANALYTICS
OFFERED BY: IBM
This is an eight-course professional certificate offered by IBM which helps you gain job-ready skills for an entry-level data analyst role. In the world of data analysts, this course will position you competitively. As per the U.S. Bureau of Labor Statistics, the job market will witness a 20% growth in the demand for skilled data analysts until 2028.
You will learn to work with a variety of data sources, data analysis tools like SQL, Python, Jupyter Notebooks, Excel, Cognos Analytics, and project scenarios. Learners will gain practical experience with applying analytical techniques and data manipulation.
5 BEST SHORT TERM ONLINE COURSES FOR PHYSICS HONS STUDENTS
LEARNER WILL GAIN FOLLOWING SKILLS AFTER COMPLETION OF THE COURSE
- Microsoft
- Excel
- Python
- Programming
- Data Analysis
- SQL
- IBM Cognos Analytics
- Data Science
- Spreadsheet
- Pivot Table
- Data Visualization (DataViz)
TO START LEARNING THIS COURSE CLICK HERE!
