What You'll Learn
Learn essential data science techniques, including data cleaning, data analysis, and machine learning. Gain the skills to extract valuable insights and make data-driven decisions.
Course Benefits
Industry Certification
Internationally recognized qualification
Expert Instructors
Learn from industry professionals
Dedicated Support
Assistance during and after training
Practical Skills
Apply knowledge immediately
Course Overview
FeaturedThis course provides a comprehensive introduction to the foundational concepts, techniques, and tools used in the field of data science. This course is designed to help participants understand the data science workflow, including data collection, data cleaning, data visualization, statistical analysis, machine learning, and interpretation of results. Through hands-on exercises, participants will gain practical experience with popular data science tools like Python, R, and SQL, and will learn how to apply data science techniques to real-world problems.
Course Duration
10 Days
Who Should Attend
- Aspiring data scientists and analysts.
- Professionals looking to transition into data science roles.
- Researchers and academics interested in data analysis.
- Students in STEM fields seeking to broaden their skills.
- Business professionals who want to leverage data for decision-making.
Course Impact
Organizational Impact
-
Enhance strategic decision-making with a data-driven culture.
-
Boost efficiency through automated data processes and faster insights.
-
Uncover trends and opportunities to strengthen competitive advantage.
Personal Impact
-
Acquire in-demand skills for data, analytics, and leadership roles.
-
Contribute to organizational success with actionable insights.
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Gain confidence to lead advanced data initiatives.
Course Objectives
By the end of this course, participants will be able to:
- Define data science and understand its role in various industries
- Explore the data science lifecycle and its key stages
- Apply statistical concepts to data analysis
- Utilize data manipulation and cleaning techniques
- Create effective data visualizations to communicate insights
- Perform exploratory data analysis to uncover patterns and trends
- Build predictive models using basic machine learning algorithms
- Communicate data-driven insights to stakeholders
Course Outline
Module 1: Introduction to Data Science
- What is data science?
- The role of data science in business and society
- The data science lifecycle
- Essential tools and technologies for data scientists
Module 2: Data Collection and Preparation
- Data sources and types
- Data quality assessment and cleaning
- Data integration and transformation
- Data exploration and visualization
Module 3: Statistical Foundations
- Descriptive statistics (mean, median, mode, standard deviation)
- Probability and distributions
- Hypothesis testing
- Correlation and regression analysis
Module 4: Data Manipulation with Python
- Introduction to Python programming
- NumPy for numerical computations
- Pandas for data manipulation and analysis
Module 5: Data Visualization
- Principles of effective data visualization
- Creating various chart types (bar charts, histograms, scatter plots, etc.)
- Interactive visualizations
- Storytelling with data
Module 6: Exploratory Data Analysis (EDA)
- Techniques for exploring data
- Identifying patterns, trends, and anomalies
- Feature engineering
Module 7: Machine Learning Basics
- Introduction to machine learning
- Supervised and unsupervised learning
- Model evaluation metrics
- Overfitting and underfitting
Module 8: Predictive Modeling
- Linear regression
- Logistic regression
- Decision trees
- Model selection and tuning
Module 9: Data Ethics and Privacy
- Ethical considerations in data science
- Data privacy and security
- Bias in data and algorithms
Module 10: Data Science Projects and Case Studies
- End-to-end data science project lifecycle
- Case studies from different industries
- Building a data science portfolio
Prerequisites
Course Administration Details
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.
For further inquiries, please contact us on details below:
Email: outreach@idealworkplacesolutions.org
Mobile: +254759708394
Register for the Course
Select a date and location that works for you.
In-Person Training Schedules
January 2026
| Date | Days | Venue | Fee (VAT Incl.) | Register |
|---|---|---|---|---|
| 5 Jan - 16 Jan 2026 | 10 days | Nairobi, Kenya | KES 198,000 | USD 2,800 | Enroll Now |
| 5 Jan - 16 Jan 2026 | 10 days | Cape Town, South Africa | USD 7,500 | Enroll Now |
| 5 Jan - 16 Jan 2026 | 10 days | Dubai, United Arabs Emirates | USD 8,000 | Enroll Now |
| 5 Jan - 16 Jan 2026 | 10 days | Zanzibar, Tanzania | USD 4,400 | Enroll Now |
| 12 Jan - 23 Jan 2026 | 10 days | Mombasa, Kenya | KES 230,000 | USD 3,000 | Enroll Now |
| 12 Jan - 23 Jan 2026 | 10 days | Kigali, Rwanda | USD 3,800 | Enroll Now |
| 12 Jan - 23 Jan 2026 | 10 days | Accra, Ghana | USD 7,200 | Enroll Now |
| 12 Jan - 23 Jan 2026 | 10 days | Kampala, Uganda | USD 3,800 | Enroll Now |
| 19 Jan - 30 Jan 2026 | 10 days | Dar es Salaam, Tanzania | USD 4,300 | Enroll Now |
| 19 Jan - 30 Jan 2026 | 10 days | Johannesburg, South Africa | USD 6,500 | Enroll Now |
| 19 Jan - 30 Jan 2026 | 10 days | Nakuru, Kenya | KES 210,000 | USD 2,800 | Enroll Now |
| 19 Jan - 30 Jan 2026 | 10 days | Dakar, Senegal | USD 6,000 | Enroll Now |
| 26 Jan - 6 Feb 2026 | 10 days | Pretoria, South Africa | USD 6,300 | Enroll Now |
| 26 Jan - 6 Feb 2026 | 10 days | Kisumu, Kenya | KES 210,000 | USD 3,000 | Enroll Now |
| 26 Jan - 6 Feb 2026 | 10 days | Naivasha, Kenya | KES 210,000 | USD 2,800 | Enroll Now |
| 26 Jan - 6 Feb 2026 | 10 days | Arusha, Tanzania | USD 4,300 | Enroll Now |
USD 3,000
USD 2,800
Request Custom Training
We offer customized training solutions tailored to your organization's specific needs:
- Training at your preferred location
- Customized content to address your specific challenges
- Flexible scheduling to accommodate your team
- Cost-effective solution for training multiple employees
Early-bird Offer
Special pricing ends in:
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