Course catalog

Data Acquisition with LabVIEW

Learn how to connect data-acquisition hardware to LabVIEW and acquire and generate analog and digital signals from a variety of real-world devices.

Data analytics course with generative AI

این دوره جامع هوش مصنوعی مولد در تحلیل داده‌ها، ارائه‌شده توسط پریانکا مهتا در کورسرا، به شما کمک می‌کند جریان‌های کاری داده را بهینه کنید، تحلیل‌ها را خودکار سازید و بینش‌های عملی با هوش مصنوعی تولید کنید. با چهار نوع تحلیل داده شامل توصیفی، تشخیصی، پیش‌بینی‌کننده و تجویزی آشنا می‌شوید و نقش هوش مصنوعی مولد در بهبود هر مرحله را می‌آموزید. فرآیندهای استخراج، تبدیل و بارگذاری داده را خودکار می‌کنید، داده‌های مصنوعی با ابزارهایی مانند چت‌جی‌پی‌تی۴ و موستلی ای‌آی تولید می‌کنید و تحلیل اکتشافی را با جولیوس ای‌آی و تابلو پالس انجام می‌دهید. سپس به ساخت مدل‌های پیش‌بینی‌کننده، پیش‌بینی روندها و تحلیل ریسک از طریق شبیه‌سازی‌های واقعی می‌پردازید و معیارهای عملکرد، چالش‌های ادغام و کاربردها در سناریوهای کسب‌وکاری را بررسی می‌کنید. با آشنایی پایه‌ای در تحلیل داده، آمار و ابزارهایی مانند اکسل، اس‌کیوال یا پلتفرم‌های هوش تجاری، می‌توانید شرکت کنید. در پایان، قادر خواهید بود داده‌ها را خودکار کنید، بینش‌ها را تحلیل و تجسم کنید، نتایج را پیش‌بینی کنید و هوش مصنوعی مولد را در تحلیل‌های واقعی به کار گیرید. ایده‌آل برای تحلیل‌گران، متخصصان داده و رهبران کسب‌وکار.

Data Analytics for Business Professionals

Learn how to use data analytics to make better business decisions and gain competitive advantage. This fast-paced introduction is ideal for managers and executives.

Data Analytics for Students

Analytics is such a broad topic that it's hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions.

Data Analytics: Dashboards vs. Data Stories (218158)

17 mins

In the world of data analytics, you're consistently presented with the same decision when it comes to how you'll communicate your data and insights. For each project, you need to decide whether to use a dashboard or tell a data story. In this course, business intelligence architect Sara Anstey provides you with the necessary information you need to make this decision with confidence. First, Sara covers the fundamentals of making decisions with data and shares how the role of a data analyst makes this possible for organizations. She then dives into the topics of data science dashboards and data storytelling, highlighting the pros and cons of each and providing the details you need to determine which approach is right for you. Sara closes by recapping key concepts, leaving you prepared to pick between each of these options with ease and intentionality.

This course was created by Madecraft. We are pleased to host this training in our library.

Data Analytics: Graph Analytics (213806)

19 mins

Since the inception of data analytics, the way in which analysts view and interpret data has evolved tremendously. New technologies, tools, and approaches have advanced what's possible with data analytics, and network analysis is no exception. In this course, longtime data analyst and data visualization expert Heather Johnson shares the fundamentals of using graph analytics, or network analysis, when analyzing data. Heather begins by reviewing the components of a network analysis and detailing the advantages of using a graph analytics approach. She then walks through key applications of using graph analytics when reviewing data. To wrap up the course, Heather discusses career opportunities within the realm of graph analytics. Upon completion, you’ll be equipped with the knowledge of what graph analytics is and how it can be leveraged within your analytics career.

This course was created by Madecraft. We are pleased to host this training in our library.

Data Curation Foundations

Add data curation to your data science tool kit. Learn how to develop curation files to document information about datasets and related business processes.

Data Dashboards in Power BI

Build and use optimal data dashboards with Microsoft Power BI. Learn how to design and customize the setup of visuals and charts to make your findings easy to understand.

Data Driven: Harnessing Data and AI to Reinvent Customer Engagement (getAbstract Summary)

Learn how technology can support marketing in the digital era, in this audio-only summary of the popular book by Tom Chavez, Vivek Vaidya, and Chris O’Hara.

Data Ethics: Making Data-Driven Decisions

Learn how to design computer algorithms to be more ethical when making complex decisions.

Data Ethics: Managing Your Private Customer Data

Learn how to make informed, ethical decisions on how to use your customer data.

Data Ethics: Watching Out for Data Misuse (220504)

58 mins

Technology has given organizations an opportunity to work with data in interesting new ways, but now governments, citizens, and customers are taking a close look at how companies use or misuse data. If one of your customers posts harmful information, should you take it down? Can you use data to manipulate your customer’s behavior? The answers to these questions have an enormous impact on how your customer views your organization. Yet, these decisions aren’t happening in the boardroom. Instead, they’re made in much smaller meetings by people just like you. Instructor Doug Rose gives you the understanding and skills you need to discuss these issues in a way that's both meaningful and productive. Doug begins with ethical views that you need to consider. He goes over ways data can be misused, by a company and by a customer. Then Doug goes over the responsibility to be accurate and what you can do when inaccurate materials are propagated. He concludes with an overview of data challenges. This course was created for LinkedIn Learning by Doug Rose. We are pleased to offer this training in our library.

Data Fluency: Exploring and Describing Data

Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.

Data for Good: Using Data Science in Nonprofits and NGOs (226080)

33 mins

The revolution in data science has transformed, for better or worse, the way companies do business in the last few decades. But data science isn't just for capitalists. AI is one of the most important forces for change developed in the last century, and we've only begun to recognize its true power and potential. In Data for Good: Using Data Science in Nonprofits and NGOs, Martin Kemka examines how data science and machine learning can be used outside of the for-profit sector. He covers parameters for how data works to influence our world, how the data-for-good concept can be applied, how to determine the best problems to solve with data, and what tools are needed. Martin also provides real-world case studies and challenges to further illustrate the lessons.