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Course Code: DIGTR 241
1223 Course Visits
Data Analytics and Visualization
Course Sector:
Digital Transformation and Innovation
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
3 Days
Riyadh, KSA $3,250
02
3 Days
Online, Virtual $2,150
03
3 Days
Istanbul, Turkey $3,950
Introduction
Training course introducion / brief
The "Data Analytics and Visualization" course offers participants a comprehensive journey through the world of data, from understanding the fundamentals of data analytics to mastering advanced visualization techniques. Over the course of three days, participants will explore topics such as data preprocessing, exploratory data analysis, statistical analysis, and machine learning. Additionally, participants will learn how to create impactful data visualizations and design interactive dashboards to communicate insights effectively to stakeholders. Through hands-on exercises, case studies, and group projects, participants will gain practical skills and insights to leverage data effectively for informed decision-making and drive business outcomes. By the end of the program, participants will be equipped with the tools and knowledge to navigate the data landscape with confidence and proficiency.
Course Objectives
At the end of the training course, participants will be able to
- Gain a solid understanding of data analytics fundamentals, including data preprocessing, exploratory data analysis (EDA), and statistical analysis.
- Develop skills in applying machine learning algorithms for data analysis and predictive modeling.
- Enhance ability to create clear and compelling data visualizations using industry-standard tools and techniques.
- Obtain practical experience in designing interactive dashboards and effectively communicating insights derived from data analysis.
- Apply ethical considerations and data privacy principles when working with sensitive data, ensuring responsible and ethical data practices.
Course Audience
Who is this course for, and can benefit the most
This course is designed for professionals across various industries who seek to enhance their proficiency in data analytics and visualization, including analysts, data scientists, business intelligence professionals, and decision-makers.
Course Outline
The course aims and learning outcomes
Foundations of Data Analytics
- Introduction to data analytics: Definitions, importance, and applications.
- Types of data and data sources: Structured vs. unstructured data, internal and external data sources.
- Data preprocessing and cleaning: Techniques for handling missing values, outliers, and inconsistencies.
- Introduction to data visualization: Principles, types of visualizations, and best practices.
- Hands-on exercise: Data cleaning and basic visualization using tools like Excel or Python libraries.
Data Analysis Techniques
- Exploratory data analysis (EDA): Techniques for understanding data distributions, relationships, and patterns.
- Statistical analysis: Descriptive and inferential statistics for analyzing data.
- Introduction to machine learning: Overview of algorithms for classification, regression, and clustering.
- Feature engineering and selection: Techniques for transforming and selecting relevant features for analysis.
- Practical exercise: Performing EDA, statistical analysis, and basic machine learning on a dataset.
Data Visualization and Communication
- Advanced data visualization techniques: Interactive visualizations, dashboards, and storytelling with data.
- Dashboard design principles and tools: Creating effective dashboards for data exploration and decision-making.
- Communicating insights from data: Techniques for presenting findings to stakeholders effectively.
- Data ethics and privacy considerations: Ethical considerations when working with data and ensuring data privacy.
- Group project: Designing and presenting a data visualization dashboard based on a real-world dataset.
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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