This course provides you with the tools you need to put data to work: how to set up experiments, how to collect data, how to learn from data, and make decisions to how to navigate the organizational, legal, and ethical issues involved in data-based decision making. The program teaches widely-used frameworks of business analytics: biases, experimentation, descriptive analytics, prescriptive analytics, predictive analytics. Participants then implement the frameworks they have learned through assignments.
Recognize different types of biases that give way to bad decision making and learn how to overcome them.
Avoid bias in decision making by asking questions critical to your business and identifying the data needed to answer those questions.
Learn about the sources of data, the intermediary software services that can fetch those data into your database, and then assess the quality of the collected data.
Explain the reasons behind past events by analyzing and summarising data.
Predict future outcomes by choosing the appropriate machine learning algorithm to use in a business context.
Learn the implementation challenges of creating a data-driven organization.
Understand the ethics and regulatory issues involved in making decisions using data
This course is designed for managers and employees across different functions who are interested in implementing analytics projects at their organization. It provides business managers with the techniques needed to transform their organization into a data-driven organization. The assignments and cases in the program focus on interpreting the results of analysis and taking decisions based on those analyses
Decision traps.
Benefits of analytics.
What is data mining?
Web scraping.
Application Programming Interface (API).
What data can you find?
What do you think about the data you found?
Amazon and APIs.
Data cleaning.
Descriptive statistics.
Normal and not normal distributions.
Effect size and confidence intervals.
Be able to collect, clean, and describe the data you have.
What does Big Data mean to you?
Introduction to Big Data.
What is Big Data?
Four Vs of big data – volume, variety, velocity, and veracity.
Challenges for big data.
Big Data opportunities.
Identify what big data means to you and what you can do with it.
Design experiments to gather meaningful data to make data-driven decisions.
Machine learning vs hypothesis testing.
Machine learning in practice.
Machine learning algorithms.
Supervised machine learning.
Interpret an analysis.
Machine learning in the real world
What is prescriptive analytics?
Connecting predictive analytics to a business objective.
Deep dive into a business model.
Making a business decision
Risk aversion.
Diversification.
Implementation challenges.
Setting up the right infrastructure.
Big data strategy.
Personal data.
Privacy and Anonymization.
Hacking and insider threats.
Making customers comfortable.
Identify Organisational issues that you will need to consider when making decisions.
identify the legal and ethical issues behind the gathering, storing, and using data.
Because supervisory levels are the link between the executive and senior management levels, achieving the organization's objectives, increasing productivity and overall performance of the organization, affects the effectiveness and efficiency of supervisors' performance.
And because of the skills of supervisors in any organization in need of continuous development, and to acquire advanced tools and methods that reflect on the deepening of these skills and activate their role in motivating individuals working, and push them to commit to the goals of the organization.
You need this conference to learn about supervisory skills and advanced methods, to be able to play an effective and supervisory role in your organization.
Managing an office has become an increasingly sophisticated and complex job. The increased demand for speed and accuracy, knowledge of new technology, and an increasingly diverse workforce bring challenges and also opportunities for growth. This dynamic and in-depth course explores some of the more advanced skills which can help an office manager to work more confidently, creatively, and effectively.
As a supervisor, the success of your organization rests in your hands. This course provides you with the opportunity to develop highly effective and essential supervisory skills that will strengthen teamwork and organizational success. Also, this course will help you manage everyday operations with greater ease. Furthermore, it will help you leverage both your managerial and people skills to meet your new challenges as the 21st-century supervisor.
This course is designed for participants to introduce to key issues and themes in international development.
Participants will explore and engage in academic debates and discussions around a set of key factors that shape, influence, and constrain the development and prosperity of nations.
The course will explore a number of key themes in international development, including how questions of gender and generation shape the impact of poverty; how processes of globalization, migration, and violent conflict impact development; and how development and the environment are linked.
It also considers what exactly we mean by poverty, and how different ways of understanding poverty feed into different approaches to tackling it.
It will also consider development institutions: what are the key institutions in the architecture of international development? How do they differ, and what are the challenges and opportunities they present? Through this module, participants will gain a solid background in the various factors which shape current approaches to and debates on international development.
By introducing participants to a range of problems in economic development, we will look to analyze how economic theory and models can explain the lack of development in some nations. We will apply such theory to real-world economies to understand the nature of the problems they face and how effective policies can be in tackling the problems.
A five-day course on the practical aspects of piping and pipeline design, integrity, maintenance, and repair. The participants will obtain an in-depth understanding of the ASME B31 code rules and API standards, their technical basis, and practical application to field conditions.
Corporate/Public governance and risk management are critical There is increasing attention being paid to corporate governance and risk management in business schools and among legislators.