Generative AI for Business Leaders
This condensed course is designed to equip business leaders with an essential understanding of generative artificial intelligence.
Advertising with Meta
This Pathway will throw light upon how it is imperative for individuals and businesses to employ Cybersecurity in the usage of IoT.
How Google does Machine Learning
This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning.
دوراتنا
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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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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- 66 ساعات
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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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- 7 ساعات
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Basic Statistics in Python (ANOVA)
In this 1-hour long project-based course, you will learn how to set up a Google Colab notebook, source data from the internet, load data into Python, merge two datasets, clean data, perform exploratory data analysis, carry out ANOVA and create boxplots.
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- 4 ساعات
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مجاني
اعرف المزيد
Statistics for Data Science with Python
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis.
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- 14 ساعات
- الإنجليزية
الاشتراك الشهري
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Emerging Technologies: From Smartphones to IoT to Big Data
This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services.
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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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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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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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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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Statistical Analysis with R for Public Health
Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health. In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis.
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The Control Phase for the 6 σ Black Belt
This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 7 of 8 in this specialization dealing with topics in the Control Phase of Six Sigma Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing. Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed project completion regiment.
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BI Foundations with SQL, ETL and Data Warehousing
The job market for business intelligence (BI) analysts is expected to grow by23 percent from 2021 to 2031 (US Bureau of Labor Statistics). This IBM specialization gives you sought-after skills employers look for when recruiting for a BI analyst. BI analysts gather, clean, and analyze key business data to find patterns and insights that aid business decision-making. During this specialization, you’ll learn the basics of SQL, focusing on how to query relational databases using this popular and powerful language. You’ll use essential Linux commands to create basic shell scripts.
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- الإنجليزية
الاشتراك الشهري
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- الباقة الاحترافية @ AED 149 + VAT
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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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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- 14
- الإنجليزية
الاشتراك الشهري
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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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- 27
- الإنجليزية
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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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- 35
- الإنجليزية
الاشتراك الشهري
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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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- 27
- الإنجليزية
الاشتراك الشهري
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MathTrackX: Statistics
Understand fundamental concepts relating to statistical inference and how they can be applied to solve real world problems.
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- 30
- الإنجليزية
الاشتراك الشهري
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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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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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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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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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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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الاشتراك الشهري
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- الباقة الإبتدائية @ AED 99 + VAT
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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- الإنجليزية
الاشتراك الشهري
متضمن في- الباقة الاحترافية @ AED 149 + VAT
- الباقة الإبتدائية @ AED 99 + VAT