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Econometrics: Methods and Applications
Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. * What do I learn? When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing.
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Course by
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التعلم الذاتي
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66 ساعات
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الإنجليزية
Advanced Bayesian Statistics Using R
Now that you know the basics of Bayesian inference, dive deeper to explore its richness and flexibility more fully. Let’s take a closer look at modeling latent variables, Bayesian model averaging, generalised linear models, and MCMC methods
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Course by
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Self Paced
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21
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الإنجليزية
Fat Chance: Probability from the Ground Up
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.
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التعلم الذاتي
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30
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الإنجليزية
Mathematics and Statistics Fundamentals Proctored Exam
Test your knowledge and ability to apply the concepts and methods from the four courses included in the LSE MicroBachelors program in Mathematics and Statistics Fundamentals and take your first step towards further study at undergraduate level or upskill in high-growth careers.
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Course by
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الإنجليزية
Statistics 1 Part 1: Introductory statistics, probability and estimation
The first in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
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Course by
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الإنجليزية
Statistics 1 Part 2: Statistical Methods
The second in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
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Course by
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الإنجليزية
Statistics 2 Part 1: Probability and Distribution Theory
The third in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
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Course by
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الإنجليزية
Statistics 2 Part 2: Statistical Inference
The final part in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
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Course by
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الإنجليزية
Statistics Fundamentals Proctored Exam
Test your knowledge and ability to apply the concepts and methods from the four courses included in the LSE MicroBachelors program in Statistics Fundamentals and take your first step towards further study at undergraduate level or upskill in high-growth careers.
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Course by
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الإنجليزية
MathTrackX: Statistics
Understand fundamental concepts relating to statistical inference and how they can be applied to solve real world problems.
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Course by
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التعلم الذاتي
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30
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الإنجليزية
Statistics for the Behavioral Sciences
How do statistics apply to your life and how can we use statistics to draw conclusions about the world? This course will provide you with an integrated and engaging online experience to explore statistics in the behavioral sciences.
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Course by
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27
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الإنجليزية
Statistics
This course provides an overview of bachelor-level statistics. You will review the concepts of descriptive and inferential statistics. You will use the statistical software package R on real data to gain insight in these topics.
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التعلم الذاتي
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35
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الإنجليزية
Intro Course: Spreadsheets and Statistics
Bridge the gap between what you know and the skills you need to ensure your success and efficiency in an office setting. This course is ideal for learners who are just starting out in their professional careers, those looking to add some hard skills to their soft skills, or those looking to make the leap from contractor to full-time employee.
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Self Paced
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27
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الإنجليزية
Introduction to Bayesian Statistics Using R
Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R.
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Course by
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Self Paced
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14
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الإنجليزية
Probability and Statistics IV: Confidence Intervals and Hypothesis Tests
This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug?"
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الإنجليزية
Risk Management
This 4-course Specialization from the New York Institute of Finance (NYIF) is intended for STEM undergraduates, finance practitioners, bank and investment managers, business managers, regulators, and policymakers. This Specialization will teach you how to measure, assess, and manage risk in your organization.
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Self Paced
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الإنجليزية
The Influence of Social Determinants on Health
Why are some groups healthier than others, and how do these differences emerge and persist over a lifetime? How do social policies on housing, transportation, and employment relate to health and health inequalities? This specialization will examine social, behavioral, economic, political, and structural factors that contribute to health inequalities, and suggest innovative ways to reduce disparities in health to achieve health equity.You will learn, -Use conceptual models to understand health disparities in the U.S.
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Self Paced
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الإنجليزية
Data Science: Foundations using R
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data. The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization.
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Self Paced
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الإنجليزية
Machine Learning and Reinforcement Learning in Finance
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance. The specialization aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) mapping the problem on a general landscape of available ML methods, (2) choosing particular ML approach(es) that would be most appropriate for resolving the problem, and (3
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Self Paced
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الإنجليزية
Data Literacy
This specialization is intended for professionals seeking to develop a skill set for interpreting statistical results. Through four courses and a capstone project, you will cover descriptive statistics, data visualization, measurement, regression modeling, probability and uncertainty which will prepare you to interpret and critically evaluate a quantitative analysis.
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Self Paced
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الإنجليزية
TensorFlow 2 for Deep Learning
This Specialization is intended for machine learning researchers and practitioners who are seeking to develop practical skills in the popular deep learning framework TensorFlow. The first course of this Specialization will guide you through the fundamental concepts required to successfully build, train, evaluate and make predictions from deep learning models, validating your models and including regularisation, implementing callbacks, and saving and loading models. The second course will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning mode
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Self Paced
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الإنجليزية
Operational Risk Management: Frameworks & Strategies
In the final course from the Risk Management specialization, you will be introduced to the different roles in risk governance and the benefits of establishing an operational risk management program at your own workplace. This course will highlight key elements of an Operational Risk Management framework and help you identify the appropriate elements to incorporate in your own program.
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Self Paced
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7 ساعات
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الإنجليزية
Genomic Data Science
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome. This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments.
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Self Paced
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الإنجليزية
Business Analytics
Nowadays data is essential in the business environment to be gain a global view of an organization's situation and to be able to make better decisions. Against this background, Big Data is a booming sector in multiple areas that opens up different job opportunities, such as the role of Data Analyst. This course is an introduction to data analytics from a business perspective, focusing on the relevance of basing strategic decision-making on the knowledge provided by data.
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الإنجليزية
Mindware: Critical Thinking for the Information Age
Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية