Foundations of Data Science for Non-technical Staff and Managers Training Course
Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.
Course Overview
| Course Title | Foundations of Data Science for Non-technical Staff and Managers Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | TBA |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
Course Overview
This intensive course offered by T4D is designed to introduce fundamental concepts of data science to individuals without a technical background. This course provides a comprehensive overview of data science principles, tools, and techniques in a way that is accessible and relevant to managers and staff who need to understand data-driven decision-making without delving into complex algorithms or programming. Participants will learn how to interpret data insights, understand statistical analyses, and leverage data to drive strategic decisions and enhance organizational performance.
Duration
5 days
Target Audience
- Non-technical staff and managers.
- Professionals with minimal experience in data science or statistics.
- Individuals looking to understand and utilize data for better decision-making.
Organizational Impacts
- Improved decision-making capabilities among staff and management through a better understanding of data insights.
- Enhanced ability to communicate data findings effectively within teams and to stakeholders.
- Increased organizational efficiency and competitiveness by leveraging data-driven strategies.
Personal Impacts
- Enhanced understanding of data science concepts and their applications in business.
- Improved ability to interpret and use data effectively in day-to-day tasks and strategic planning.
- Increased confidence in discussing and utilizing data-driven insights in decision-making processes.
Course Objectives
- Understand the basic concepts and terminology of data science.
- Gain insights into how data science can drive business decision-making.
- Learn to identify and frame business problems that can be addressed with data science.
- Develop an understanding of the data lifecycle, including data collection, cleaning, and preprocessing.
- Understand various data visualization techniques and their applications.
- Learn to interpret and draw actionable insights from data visualizations and reports.
- Gain familiarity with key statistical concepts and methods used in data analysis.
- Understand the basics of predictive analytics and its applications in business.
- Learn about the ethical considerations and best practices in data handling and analysis.
Course Modules
Course Outline
Module 1: Introduction to Data Science and Data
- Overview of data science and its importance
- Types of data: structured vs. unstructured
- Data sources and collection methods
- Key concepts and terminology
- Case Study: How Data Science Transformed Customer Segmentation for a Retail Company
Module 2: Basic Statistical Concepts and Data Analysis
- Descriptive statistics: mean, median, mode, and standard deviation
- Introduction to probability and distributions
- Basic data analysis techniques: correlation, regression, and hypothesis testing
- Case Study: Analyzing Customer Satisfaction Scores Using Descriptive Statistics
Module 3: Data Visualization and Tools
- Importance of data visualization
- Common types of charts and graphs
- Overview of popular data tools (Excel, Power BI, etc.)
- Basic functionalities and applications
- Case Study: Visualizing Sales Trends to Identify Market Opportunities
Module 4: Data Cleaning, Preparation, and Data-Driven Decision Making
- Techniques for cleaning and preparing data for analysis
- Handling missing values and outliers
- How to use data to inform business decisions
- Case Study: Cleaning and Preparing Survey Data for Accurate Analysis
Module 5: Communicating Data Insights and Future Trends
- Best practices for presenting data findings
- Creating compelling reports and presentations
- Emerging trends and technologies in data science
- Case Study: Crafting a Data Presentation for a Strategic Meeting
Course Administration
Methodology
This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.
Accreditation
Participants will receive a Tech For Development Certificate of Course Completion.
Training Venue
Held at the Tech For Development Training Centre.
Accommodation & Airport Transfer
Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179
Tailor-Made
Customised training available.
Payment
Send proof of payment to letstalk@techfordevelopment.com.
