Course


Data Scientist Terminology Prep

Data Scientist Terminology Prep

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

Python Pro - Basics for Data Science

Python Pro - Basics for Data Science

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

Data Analysis in Social Science—Assessing Your Knowledge

Data Analysis in Social Science—Assessing Your Knowledge

To learn more about this MicroMasters program, please visit https://micromasters.mit.edu/ds/. This course consists of an assessment that tests your knowledge on the course content from 14.310x - Data Analysis for Social Scientists, a statistics and data analysis course that will introduce you to the essential notions of probability and statistics. It will cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials ...

Statistical Analysis in Bioinformatics

Statistical Analysis in Bioinformatics

Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment. For example, individual data points collected from one gene expression study can easily number in the hundreds of thousands. These types of data sets are often referred to as ‘biological big data’ and require bioinformaticians to...

Statistical Thinking for Data Science and Analytics

Statistical Thinking for Data Science and Analytics

This statistics and data analysis course will pave the statistical foundation for our discussion on data science. You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data....

Data Analysis for Social Scientists

Data Analysis for Social Scientists

This course is now part of two independent MITx MicroMasters programs. For both MicroMasters programs, learners will need to first enroll in and pass this course. However, each program will then require different final assessments for a course certificate toward the full MicroMasters credential: 1. MicroMasters in Data, Economics, and Development Policy (DEDP). To pursue the DEDP MicroMasters credential, pass this course, create a MicroMasters in DEDP profile, and pass an additional in-person pr...

Probability and Statistics in Data Science using Python

Probability and Statistics in Data Science using Python

The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks....

Observation Theory: Estimating the Unknown

Observation Theory: Estimating the Unknown

Are you an engineer, scientist or technician? Are you dealing with measurements or big data, but are you unsure about how to proceed? This is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results. TU Delft’s approach to observation theory is world leading and based on decades of experience in research and teaching in geodesy and the wider geosciences. The theory, however, can be ...

Data Scientist Interview Questions

Data Scientist Interview Questions

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

SQL for Data Analysis: Core Data Scientist’s Skills

SQL for Data Analysis: Core Data Scientist’s Skills

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

Data Science Ethics

Data Science Ethics

As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right a...

How to Think Like a Data Scientist with 10 Years' Experience

How to Think Like a Data Scientist with 10 Years' Experience

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

Image Processing and Analysis for Life Scientists

Image Processing and Analysis for Life Scientists

Nowadays, image-based methods are indispensable for life scientists. Light microscopy especially, has evolved from sketched out observations by eye, to high throughput multi-plane, multi-channel, multi-position and multimode acquisitions that easily produce thousands of information-rich images that must be quantified somehow to answer biological questions.   This course will teach you core concepts from image acquisition to image filtering and segmentation, to help you tackle simple image analys...

Probability: Basic Concepts & Discrete Random Variables

Probability: Basic Concepts & Discrete Random Variables

Our capacity to collect and store data has exponentially increased, but deriving information from data from a scientific perspective requires a foundational knowledge of probability. Are you interested in a career in the emerging data science field, or as an actuarial scientist? Or want better to understand statistical theory and mathematical modeling? In this statistics and data analysis course, we will provide an introduction to mathematical probability to help meet your career goals in the ex...

Introductory Statistics : Analyzing Data Using Graphs and Statistics

Introductory Statistics : Analyzing Data Using Graphs and Statistics

Why do we study statistics? The field of statistics provides professionals and scientists with conceptual foundations and useful techniques for evaluating ideas, testing theories, and - ultimately - uncovering the truth in any situation. This course will familiarize you with data and basic statistical concepts, enabling you to analyze data using graphs and statistics. We'll start with types of data, controlled experiments, and observational study. You'll learn to use a histogram, a representatio...