79 Data Analytics Preparatory Programs

The students will learn the mechanics for collecting data, analyzing data and some core modelling approaches in forecasting, mix modelling and cross-channel attribution; How to use the purchase funnel as a framework for optimizing your marketing campaigns across paid, owned, and earned channels and much more.

Blending statistics and computing to develop methods that support data analysis, this interdisciplinary minor may appeal to you if you major in business, finance, or economics. And if you intend to do research in any area that requires quantitative thinking, this minor could set you apart as you apply to graduate schools.

If you want to broaden your skills in data management and analysis, but you’re not ready for a full degree, the Undergraduate Certificate in Data Management and Analysis might be the perfect option.

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science.

This eight-course Professional Certificate from IBM prepares you with job-ready skills for an entry-level data analyst role.

This program will introduce Business Intelligence (BI), hands-on, to allow you to clean, normalize, and interpret large volumes of data. You will be able to establish historical relationships, analyze the current situation and predict future strategies.

Learn data visualization through Tableau 2020 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

Learn data analysis from scratch, including an introduction to essential maths and Microsoft Excel.

Quantitative Analysis of UAS Data is the third course in the three course sequence, UAS Applications and Operations in Environmental Science: Become the Scientist Pilot. This three course sequence is taught online, with both asynchronous and synchronous components, providing significant flexibility for professionals seeking to learn more about how drones are applied in environmental science. Learn more about the sequence.

This certificate is open to graduate students only and is designed to enhance students’ opportunities in a job market that demands exceptional quantitative data skills. Training in econometrics is particularly valuable for government jobs and private sector positions in policy analysis, financial analysis, forecasting, market research, logistics and quality control.

Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability ​- part of the MITx Supply Chain Management MicroMasters Credential.

If you or your organisation handles personal information about individuals you have legal obligations to protect that information.

Learn in-demand skills to maximize your impact as an analyst.

Master key concepts using the R programming language.

Causal Inference with R – Regression is the third course on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you causal inference concepts, methods, and how to code in R with realistic data, this course focuses on how to use regression to find causal effects, why they can be controversial, and what they look like in practice.