Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
IBM AI Enterprise Workflow
This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production.
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الإنجليزية
Address Business Issues with Data Science
This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process. The typical student in this course will have experience in a business setting and a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Mathematics for Machine Learning
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science.
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Self Paced
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الإنجليزية
Meta Back-End Developer
Ready to gain new skills and the tools developers use to create websites and web applications? This certificate, designed by the software engineering experts at Meta—the creators of Facebook and Instagram, will prepare you for an entry-level career as a back-end developer. In this program, you’ll learn: Python Syntax—the most popular choice for machine learning, data science and artificial intelligence. In-demand programming skills and how to confidently use code to solve problems. Linux commands and Git repositories to implement version control.
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Self Paced
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الإنجليزية
Data Analysis and Interpretation
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights.
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Self Paced
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الإنجليزية
Data Visualization using Plotnine and ggplot
Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs. In this project you will learn how to create beautiful visualizations using plotnine and gglot constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Data Science at Scale
Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data.
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Self Paced
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الإنجليزية
Network Analysis for Marketing Analytics
Network analysis is a long-standing methodology used to understand the relationships between words and actors in the broader networks in which they exist. This course covers network analysis as it pertains to marketing data, specifically text datasets and social networks. Learners walk through a conceptual overview of network analysis and dive into real-world datasets through instructor-led tutorials in Python.
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Self Paced
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10 ساعات
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الإنجليزية
Advanced Clinical Data Science
This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis.
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Self Paced
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4 ساعات
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الإنجليزية
Introduction to Scripting in Python
Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
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Self Paced
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الإنجليزية
Data Science Fundamentals with Python and SQL
Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater.
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Self Paced
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الإنجليزية
Total Data Quality
This specialization aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects.
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Self Paced
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الإنجليزية
Introduction to Computer Programming with Visual Basic
This specialization is for anyone interested in learning more about computer programming, including the fundamental computer science knowledge and skills required for work in this field. Through 4 courses in this Specialization, you'll develop a foundation in the fundamentals of programming, including knowledge and skills essential for a career in information technology and data science. You'll use your own computer to install and configure Visual Basic, and after the course you'll be ready to continue working with your new Visual Basic skills!
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Self Paced
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الإنجليزية
Database systems
This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems.
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Course by
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Self Paced
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الإنجليزية
Advanced Statistics for Data Science
Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression. This specialization starts with Mathematical Statistics bootcamps, specifically concepts and methods used in biostatistics applications.
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Self Paced
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الإنجليزية
ESG Investing: Financial Decisions in Flux
As ESG investing continues to evolve towards a global standard, certain initiatives such as the UN’s sustainable development goals, and the Paris Agreement on climate change, have already spurred significant changes across the financial markets. As the title of this specialization suggests, financial decisions by investors, as well as capital deployment by companies, organizations, and governments, have been shifting amid increasing attention to environmental, social, and governance-related concerns. By the end of this specialization, students with basic knowledge of traditional financial pr
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Self Paced
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الإنجليزية
Practical Data Science on the AWS Cloud
Development environments might not have the exact requirements as production environments. Moving data science and machine learning projects from idea to production requires state-of-the-art skills. You need to architect…
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Course by
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Self Paced
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الإنجليزية
Interviewing for DS/AI Roles
Data science and artificial intelligence are exciting fields to join, but with the explosion of growth has come a somewhat unexpected outcome: high competitiveness in the job market. This specialization focuses on not only how to pick the right DS/AI job for your skillset, but also how to prepare for and land an interview. We will start with an overview of the current entry challenges in this field as well as the differences between some commonly confused DS/AI roles.
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Self Paced
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الإنجليزية
BigQuery Soccer Data Analysis
This is a self-paced lab that takes place in the Google Cloud console. Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables. In this lab you will learn more fundamentals of sports data science by writing and executing queries to query data stored in BigQuery tables. The emphasis of the lab is to illustrate how the database works and answer some interesting questions related to the following topics in soccer.
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1 ساعات
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الإنجليزية
Databases for Data Scientists
Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this specialization is for you! We focus on the relational database which is the most widely used type of database. Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development.
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Self Paced
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الإنجليزية
Python Data Products for Predictive Analytics
Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego. This Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy.
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الإنجليزية
Cloud Machine Learning Engineering and MLOps
Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone.
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12 ساعات
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الإنجليزية
Accelerated Computer Science Fundamentals
Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths. This Specialization sequence is designed to help prospective applicants prepare for the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science.
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Self Paced
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الإنجليزية
SQL for Data Science with R
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL and R languages. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning.
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Self Paced
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28 ساعات
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الإنجليزية
Create Machine Learning Models in Microsoft Azure
Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models. This course is designed to prepare you for roles that include planning and creating a suitable working environment for data science workloads on Azure.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية