August 14, 2015
In the last blog we told you how you can make your Career in Analytics and we mentioned about the courses from Coursera. We are sure that you were very busy and could not take out time for browsing courses so to make things easy for you we bring you the list of courses that will boost your Analytics career.
Coursera’s website is an educational platform that has partnered with top organizations and universities across the globe to offer online courses for anyone for free. You can select any course that suits your profile and sign up for it and learn with your own convenience.
Best Analytics Courses online
R is a programming language that is used in graphics and statistical computing. It is majorly used by data miners and statisticians for data analysis and statistical software. The popularity of R programming has increased tremendously in the recent years.
In the R Programming Course at Coursera you’ll be learning:
Before you start working on data and carry out any analysis, it is important that you have the data in the first place. Through this course you’ll be able to learn that.
In Getting & Cleaning the data course you’ll be learning:
Reproducible research from coursera is the idea that data analyses and scientific claims are published with their software code and data so that others may authenticate the findings and build upon them. The need for reproducible research is growing day by day as data analysis is becoming complex.
Through Reproducible Research Course, you’ll be learning:
According to the definition by Wikipedia, “Statistical inference is the process of deducing properties of an underlying distribution by analysis of data.”
It is the process of drawing conclusions of scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses.
In Statistical Inference course at coursera, you’ll be learning:
There are several tools and ideas that one needs to apply while conducting data analysis. In this course you’ll be learning about them in detail.
Through the Data Scientist Toolbox course you’ll be learning:
Regression Models are a part of statistics. It is a statistical process for estimating the relationships among variables. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit.
In Regression Models course , you’ll be learning:
These days one of the most common and important task performed by data analyst and data scientist is machine learning. Machine learning explores the construction and study of algorithms that can learn from and make predictions on data.
Through the Practical Machine Learning Course, you’ll be learning:
That’s not all, there are many more courses available, we mentioned some of the best ones. You can check more on Coursera’s website .