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Business Analytics for Decision Making
by Manuel Laguna- 4.6
Approx. 9 hours to complete
In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions....
Accounting Data Analytics with Python
by Ronald Guymon , Linden Lu- 4.1
Approx. 32 hours to complete
This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. g. We then analyze the data using visualizations and linear regression....
Business Analytics and Digital Media
by Sudhir Voleti- 4.4
Approx. 8 hours to complete
The explosion in digital media - web, social and now mobile - represents a departure from how things were like in the last century. This proliferation of digital media is both a threat and an opportunity for many businesses. Introduction to Business Analytics Introductory Business Analytics and Digital Media Conceptual Preliminaries...
Predictive Modeling, Model Fitting, and Regression Analysis
by Dursun Delen , Julie Pai- 4.4
Approx. 4 hours to complete
Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. We will review how a model can be fitted, trained and scored to apply to both historical and future data in an effort to address business objectives....
Advanced Business Analytics Capstone
by Manuel Laguna , Dan Zhang , David Torgerson- 4.3
Approx. 19 hours to complete
The analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone project will take you from data to analysis and models, and ultimately to presentation of insights....
Data Analytics Foundations for Accountancy I
by Robert Brunner- 4.3
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. Course Orientation...
Data Analytics in Accounting Capstone
by Linden Lu- 0.0
Approx. 18 hours to complete
This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem. You will be provided with a loan dataset from Lending Club which is the largest peer-to-peer lending platform....
Data Analytics Foundations for Accountancy II
by Robert Brunner- 4.8
Approx. 70 hours to complete
Welcome to Data Analytics Foundations for Accountancy II! 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. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course....
مقاييس الأعمال للشركات التي تعتمد على البيانات
by Daniel Egger , Jana Schaich Borg- 0.0
Approx. 8 hours to complete
في هذه الدورة التدريبية، ستتعلم أفضل الممارسات لكيفية استخدام تحليلات البيانات لتجعل أي شركة لها قدرة أكبر على التنافس والربح. سيمكنك التعرف على أهم مقاييس الأعمال وتمييزها عن البيانات العادية. وستكون لديك صورة واضحة عن الأدوار الحيوية المختلفة التي يضطلع بها كل من محللي الأعمال، ومحللي بيانات الأعمال، وعلماء البيانات في مختلف أنواع الشركات....
Tools for Data Science
by Aije Egwaikhide , Svetlana Levitan , Romeo Kienzler- 4.5
Approx. 17 hours to complete
What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations....