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Data Analytics Foundations for Accountancy I
by Robert Brunner- 4.3
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Approx. 66 hours to complete
Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community. To begin, I recommend taking a few minutes to explore the course site. Introduction to Module 1 Introduction to the Course JupyterHub Server...
Native Advertising
by Chris J. Vargo , Harsha Gangadharbatla- 4.5
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Approx. 7 hours to complete
Often in the form of news-like stories, native advertising has been shown to persuade consumers. Native advertising is affordable, and doesn’t require graphic design to get started. Intro to the Taboola Module How to target native ad campaigns to desired audiences Use free tools to actively gather news coverage for native advertising...
Pointers, Arrays, and Recursion
by Andrew D. Hilton , Anne Bracy , Genevieve M. Lipp- 4.4
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Approx. 21 hours to complete
The third course in the specialization Introduction to Programming in C introduces the programming constructs pointers, arrays, and recursion. Pointers provide control and flexibility when programming in C by giving you a way to refer to the location of other data. Pointers to Structs Pointers to Pointers Use Memory Checker Tools...
Identifying Patient Populations
by Laura K. Wiley, PhD- 4.5
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Approx. 13 hours to complete
In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms. Introduction to Specialization Instructors Introduction to Course Example...
Engagement & Nurture Marketing Strategies
by Randy Hlavac- 4.8
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Approx. 9 hours to complete
You'll see real-world best practice examples and learn what metrics they use to gauge success. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies. How Startups and Small Businesses Can Use the Engagement Marketing Social Strategy...
Logistic Regression in R for Public Health
by Alex Bottle- 4.8
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Approx. 12 hours to complete
This course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. How to be successful in this course How to Describe Data in R How to Run Multiple Logistic Regression in R...
Physician/Student Opioid Use Disorder Medication Assisted Treatment Waiver Training
by Jann T. Balmer , Nassima Ait-Daoud Tiouririne- 0.0
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Approx. 13 hours to complete
The course consists of 8 individual sessions of the required 8 hours of content for physicians who wish to apply for a waiver to prescribe buprenorphine for the treatment of opioid use disorders. Module 3: Case 1 Discussion - Lawyer Beginning to Use Daily Post Course Reading - How to Claim Your CME Credit...
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Prepare Data for Exploration
by Google Career CertificatesTop Instructor- 4.8
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Approx. 22 hours to complete
You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data. - Discover how to identify different types of bias in data to help ensure data credibility. How to use BigQuery Test your knowledge on how to organize data...
Reports, Dashboards, and Customer Success in Salesforce
by Angela Prakash , Anthony Jones- 4.9
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Approx. 30 hours to complete
This fourth course goes into more depth on how a sales operations specialist would use Salesforce Service Cloud to support a variety of different customer service needs. Introduction to the Course How to Be Successful in this Course How to Use Discussion Forums Get to Know Your Classmates Set Up Your Developer Edition Org and Connect to Trailhead...
Introduction to Machine Learning Course
by Katie Malone , Sebastian Thrun- 0.0
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Timeline Approx. 10 Weeks
Learn the formulas for entropy and information gain and how to calculate them. lesson 5 Choose your own Algorithm Decide how to pick the right Machine Learning Algorithm among K-Means, Adaboost, and Decision Trees. lesson 10 Feature Scaling Understand how to preprocess data with feature scaling to improve your algorithms. Use a min mx scaler in sklearn....
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