Good data selection and/or collection are the foundation for effective data analysis. This demands a thorough understanding of all data kinds and the various sources that they come from. Additionally, by arranging it correctly, all of the data may be easily shown under various charts, and they can all be described using appropriate and effective descriptive statistics measures.
The foundational concepts of this course include developing a clever data collection procedure, choosing the optimum sampling strategy, confirming the accuracy of the data stored for analysis, and comprehending all the choices for visualization and the related descriptive statistical KPIs. Prior to beginning any work or even a career in the realm of data, this course addresses all approaches and instruments for thorough data analysis. The course also acts as a prerequisite for any course or program in machine learning.
Additionally, this course aims to give participants a clear and comprehensive understanding of data structuring for effective data analysis, scientific group profiling through intelligent and effective data analysis, and appropriate data manipulation using a variety of tools currently available on the market.
Understand and organize the phases of a successful data analysis project.
Convert any industry into a thorough database.
Analyze and assess the quality of the data.
Basic data interpretation and description using full descriptive statistics
Discover the full history of data analysis.
All practitioners of machine learning and artificial intelligence (AI) start with applied data analysis. It is fundamental information that applies to all fields and data-related jobs.
The different types of Data
Data sources
Data
Variables
Data visualization
Pies, Doughnuts, Bars
Histograms, Lines, Scatter plots
Heat maps and Tuckey boxes
Geographical maps
Central tendency measurements
Average
Median
Mode
Scatter tendency measurements
Quartile
Variance
Standard deviation
Estimations
Punctual
Confidence Interval
Two men test
Equal variances (t-test)
Unequal variances (t-test – Welch correction)
Two variance tests (F-Test)
Two proportion test (Chi-Square test)
Two distribution tests (Chi-Square test)
Attraction – Repulsion Matrix
Vertical and horizontal profiling
Multiple mean tests
Equal variances (F-Test and ANOVA Table)
Unequal variances (F-Test – Welch Correction)
Multiple Variance test
Levene test
Chi-Square test
Multiple proportion test (Chi-Square test)
Multiple distribution test (Chi-Square test)
Attraction – Repulsion Matrix
Vertical and horizontal profiling
Mean pair comparisons methods:
General
Bonferroni
Tukey - Kramer
Simple linear regression
Line equation
Testing the regression line validity (t-nullity test)
R vs. R Square interpretation
ANOVA table analysis
Simple logistic regression
Probabilistic model
Testing the model validity (Chi-Square test)
Predicting classification
Odds ratio interpretation
Data analysis project best practices
Ask
Design
Preview
Analyze
Communicate
Sampling methods
Random and systematic
Multilevel, stratified, and cluster
Convenient, quota, and judgmental
PMP for research projects overview
Integration, cost, scope, time, cost, quality, communication
This course focuses on the leader’s role in developing and motivating excellent teams. Rather than trying to define one ‘right’ way to lead, it will introduce a range of complementary approaches that delegates will have the opportunity to practice, combine and adapt to suit their personal preferences and organizational needs.
By exploring the leadership role from a number of different perspectives, the seminar allows delegates to experiment with innovative ways to empower and enthuse their team and influence positively their organizational climate and culture. The benefits to the organization will be leaders better able to focus on organizational goals and better equipped to develop their team towards sustainable performance improvement.
The Senior Secretary holds a key position of influence and a powerful partnership with the senior management team. Success in this role has a direct effect on the success of executive operations. The Senior Secretary who understands the role and pressures of management and even thinks like the team will achieve improved performance, outstanding results, and respect from superiors and the executive team.
To excel as an Office Manager, Administrator, or Secretary you need to perfect your interpersonal and behavioral skills, to ensure you stay in control and on top of every one of your responsibilities.
We often hear record-breaking athletes say; I owe it to my coach; That’s because however talented they are, athletes need a coach to improve their performance and competitiveness. Likewise, Companies and Organizations need to create a culture where coaching and feedback occur as a routine part of each day. Towards this strategic end. This innovative and motivating course, explains a structured approach to coaching which is effective whether a professional is working with a recruit or seeking improvement from an experienced player. Being less of a boss and more of a coach is fundamental to modern management. Urging people to do better won’t work unless they know how to do it better. Good coaching builds trust and a collaborative climate between professionals and teams.
Business process analysis and modeling is an essential component of Business Process Redesign (BPR) as well as other business process improvement initiatives such as reengineering, systems development, quality management, and continuous process improvement. In this course, the participants will acquire the knowledge and skills to analyze and accurately model business processes at the enterprise level as well as the detailed workflow level.
Participants will learn the Integration Definition for Process Modeling (IDEF0) method and the Business Process Diagram notation. These are open modeling standards that are used by many leading business process modeling tools. They are easy to understand and can be applied to all aspects of business process innovation. These methods facilitate rigorous analysis, creative thinking, and the development of information technology systems.
Soft skills training is training that focuses on developing skills such as communication, teamwork, and problem-solving. Other soft skills include emotional intelligence, a positive attitude, and taking the initiative