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.
Developing leadership skills is more than learning to be a good manager. Great leadership is first and foremost an “inside job”. Before we can lead others with influence and confidence, we must first find the inner qualities and strengths to lead ourselves with conviction. Leadership from this perspective is a manifestation of our unique personal power, purpose, and vision.
The Inner Journey of Leadership Mastery is a two-part program that focuses precisely on developing those vast inner resources we all possess.
At the heart of leadership is trust. However, trust can quickly be undermined if subordinates and colleagues sense a leader is insincere, lacking in vision, or unwilling to take responsibility. This seminar focuses on the role the leader has in shaping the way the team and the wider organization reach decisions and in resolving ethical dilemmas.
The business of oil and gas is multifaceted, technically complex, highly capital intensive, and often confronted with potential risks and uncertainties. Today’s petroleum industry is dealing with ever-increasing levels of complexity, price volatility, and competition. The objective of this course is to provide the participants with extensive exposure to the many complex management issues presently confronting the Upstream and Downstream Petroleum Industry and to strengthen their understanding to manage the business successfully employing the latest innovative technologies.
The drop in the price of oil impacts negatively on the Upstream but enhances the profitability of Downstream operations as Refinery margins improve with cheaper feedstock. Furthermore, the Integration of refining and petrochemicals to achieve greater efficiencies is yet another critical factor in the business.
Managing integrated Upstream and Downstream businesses with technically intensive areas such as, exploration, drilling, production, refining, petrochemicals, sales, distribution, and trading of oil, gas and refined products require several cross-functional skills that are essential to this competitive industry. All these multi-functional skills and business practices are seamlessly covered in this training course
Departments. This essential program will provide you with the best in new techniques, processes, and direction that leading HR departments need to take to be world-class.
ISO 45001 standard has replaced the popular OHSAS 18001 Regulations with the overall purpose remaining the improvement of occupational health and safety performance. ISO 45001 will more easily integrate with other ISO Management Systems standards including ISO 9001:2018 and ISO 14001:2018. ISO 45001 will require an organization to look beyond its immediate health and safety issues and take into account what the wider society expects of it. Organizations will have to think about their contractors and suppliers, as well as the effects their activities have on neighboring communities.