Accelerated Pc Science Fundamentals Specialization

SKILLS YOU WILL GAIN

• Statistics
• Statistical Inference
• R Programming
• Qualitative Analysis
• Confidence Interval
• Statistical Speculation Testing
• Regression Evaluation
• Evaluation Of Variance (ANOVA)

About this Specialization

Determine attention-grabbing questions, analyze information units, and appropriately interpret outcomes to make stable, evidence-based choices.

This Specialization covers analysis strategies, design and statistical evaluation for social science analysis questions. Within the remaining Capstone Undertaking, you’ll apply the abilities you discovered by creating your individual analysis query, gathering information, and analyzing and reporting on the outcomes utilizing statistical strategies.

Coursera offers me the flexibleness I must take programs by myself time.

— Chelsea R.

The reality is that I really like studying — I’m at all times searching for new alternatives to be taught. The standard of content material on Coursera at all times exceeds my expectations.

— Natalie H.

It’s necessary for me to have the ability to be taught as a lot as I can. My programs on Coursera have given me confidence and hope for the long run.

— Richard B.

Coursera offers me the flexibleness I must take programs by myself time.

— Chelsea R.

The reality is that I really like studying — I’m at all times searching for new alternatives to be taught. The standard of content material on Coursera at all times exceeds my expectations.

— Natalie H.

It’s necessary for me to have the ability to be taught as a lot as I can. My programs on Coursera have given me confidence and hope for the long run.

— Richard B.

Coursera offers me the flexibleness I must take programs by myself time.

— Chelsea R.

The reality is that I really like studying — I’m at all times searching for new alternatives to be taught. The standard of content material on Coursera at all times exceeds my expectations.

— Natalie H.

It’s necessary for me to have the ability to be taught as a lot as I can. My programs on Coursera have given me confidence and hope for the long run.

— Richard B.

How the Specialization Works

Take Programs

A Coursera Specialization is a sequence of programs that helps you grasp a ability. To start, enroll within the Specialization instantly, or evaluate its programs and select the one you’d like to start out with. While you subscribe to a course that’s a part of a Specialization, you’re robotically subscribed to the total Specialization. It’s okay to finish only one course — you may pause your studying or finish your subscription at any time. Go to your learner dashboard to trace your course enrollments and your progress.

Fingers-on Undertaking

Each Specialization features a hands-on challenge. You’ll must efficiently end the challenge(s) to finish the Specialization and earn your certificates. If the Specialization features a separate course for the hands-on challenge, you’ll want to complete every of the opposite programs earlier than you can begin it.

Earn a Certificates

While you end each course and full the hands-on challenge, you’ll earn a Certificates which you can share with potential employers and your skilled community.

There are 5 Programs on this Specialization

COURSE1

Quantitative Strategies

Uncover the rules of stable scientific strategies within the behavioral and social sciences. Be part of us and be taught to separate sloppy science from stable analysis!

This course will cowl the basic rules of science, some historical past and philosophy of science, analysis designs, measurement, sampling and ethics. The course is corresponding to a college degree introductory course on quantitative analysis strategies within the social sciences, however has a robust give attention to analysis integrity. We are going to use examples from sociology, political sciences, academic sciences, communication sciences and psychology.

COURSE2

Qualitative Analysis Strategies

On this course you may be launched to the essential concepts behind the qualitative analysis in social science. You’ll study information assortment, description, evaluation and interpretation in qualitative analysis. Qualitative analysis typically includes an iterative course of. We are going to give attention to the components required for this course of: information assortment and evaluation.

You gained’t learn to use qualitative strategies by simply watching video’s, so we put a lot stress on gathering information by remark and interviewing and on analysing and deciphering the collected information in different assignments. Clearly, a very powerful ideas in qualitative analysis will probably be mentioned, simply as we’ll focus on high quality standards, good practices, ethics, writing some strategies of research, and mixing strategies. We hope to remove some prejudice, and enthuse many college students for qualitative analysis.

COURSE3

Fundamental Statistics

Understanding statistics is crucial to know analysis within the social and behavioral sciences. On this course you’ll be taught the fundamentals of statistics; not simply the right way to calculate them, but additionally the right way to consider them. This course can even put together you for the subsequent course within the specialization – the course Inferential Statistics.

Within the first a part of the course we’ll focus on strategies of descriptive statistics. You’ll be taught what instances and variables are and how one can compute measures of central tendency (imply, median and mode) and dispersion (normal deviation and variance). Subsequent, we focus on the right way to assess relationships between variables, and we introduce the ideas correlation and regression. The second a part of the course is worried with the fundamentals of likelihood: calculating possibilities, likelihood distributions and sampling distributions. You want to learn about this stuff with a purpose to perceive how inferential statistics work. The third a part of the course consists of an introduction to strategies of inferential statistics – strategies that assist us determine whether or not the patterns we see in our information are sturdy sufficient to attract conclusions in regards to the underlying inhabitants we’re interested by. We are going to focus on confidence intervals and significance checks. You’ll not solely study all these statistical ideas, additionally, you will be skilled to calculate and generate these statistics your self utilizing freely out there statistical software program.

COURSE4

Inferential Statistics

Inferential statistics are involved with making inferences primarily based on relations discovered within the pattern, to relations within the inhabitants. Inferential statistics assist us determine, for instance, whether or not the variations between teams that we see in our information are sturdy sufficient to offer assist for our speculation that group variations exist normally, in your entire inhabitants.

We are going to begin by contemplating the essential rules of significance testing: the sampling and check statistic distribution, p-value, significance degree, energy and sort I and sort II errors. Then we’ll think about a lot of statistical checks and methods that assist us make inferences for several types of information and several types of analysis designs. For every particular person statistical check we’ll think about the way it works, for what information and design it’s acceptable and the way outcomes ought to be interpreted. Additionally, you will learn to carry out these checks utilizing freely out there software program. For many who are already accustomed to statistical testing: We are going to take a look at z-tests for 1 and a couple of proportions, McNemar’s check for dependent proportions, t-tests for 1 imply (paired variations) and a couple of means, the Chi-square check for independence, Fisher’s actual check, easy regression (linear and exponential) and a number of regression (linear and logistic), a method and factorial evaluation of variance, and non-parametric checks (Wilcoxon, Kruskal-Wallis, signal check, signed-rank check, runs check).

SKILLS YOU WILL GAIN

• Statistics
• Statistical Inference
• R Programming
• Qualitative Analysis
• Confidence Interval
• Statistical Speculation Testing
• Regression Evaluation
• Evaluation Of Variance (ANOVA)

About this Specialization

Determine attention-grabbing questions, analyze information units, and appropriately interpret outcomes to make stable, evidence-based choices.

This Specialization covers analysis strategies, design and statistical evaluation for social science analysis questions. Within the remaining Capstone Undertaking, you’ll apply the abilities you discovered by creating your individual analysis query, gathering information, and analyzing and reporting on the outcomes utilizing statistical strategies.