Free Online Courses for everyone!

List of MOOCs offered by the Best Universities and Entities

 

Upcoming courses (for the next 30 days)

May 2nd 2016

This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors. The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects.

Average: 8 (1 vote)
May 2nd 2016

You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.

No votes yet
May 2nd 2016

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more.

Average: 10 (1 vote)
May 2nd 2016

This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.

No votes yet
May 2nd 2016

In this course, you will engage in developing and strengthening the emotional component of your career brand. Acting as “your own Chief Executive Officer” (P. Drucker), you will learn how to use strategic marketing models and techniques for enhancing your personal image. You will learn how to communicate and showcase your skills and personality traits to prospective employers.

No votes yet
May 2nd 2016

In this course, you will engage in developing and strengthening the functional component of your career brand. Acting as “your own Chief Executive Officer” (P. Drucker), you will learn how to use strategic management models and techniques for enhancing your skills portfolio. You will learn how to increase your human capital by developing and documenting high-demand marketable skills.

No votes yet
May 2nd 2016

According to the U.S. Bureau of Labor Statistics, in the current economy, Americans shift jobs every 4-5 years, which translates into 8-10 job transitions, including several career changes, over one’s life time. With competition for jobs on the rise, a person’s continuing employability and career success are increasingly defined by his or her mastery of individual career development and the ability to effectively "manage oneself" (P. Drucker). In this course, you will learn how to think strategically and professionally about your career self-management. Through this course you'll develop an objective, external view of your marketable skills as a solid foundation for building a strong career brand.

No votes yet
May 2nd 2016

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

Average: 10 (1 vote)
May 2nd 2016

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.

Average: 8 (2 votes)
May 2nd 2016

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.

No votes yet

Pages

 

No front page content has been created yet.

 

Tell your friends:

 

Last submitted or updated courses