Best Data Management and Analytics Diploma in Kenya – 2024
In Kenya’s fast-paced digital landscape, the demand for skilled data managers and analysts is higher than ever. Think about it: every time you browse online, make a purchase or even share a social media post, you’re generating data. Businesses are constantly seeking insights from this data to tailor their services and enhance customer experiences. Imagine being the one who unlocks these insights! With our Data Management and Analytics diploma (Level 6) at Inceptor, you’ll dive into real-life examples, like analysing consumer behaviour to optimize marketing strategies or using data to streamline supply chain operations. Ready to be the driving force behind informed decisions and innovative solutions? Join us and discover the endless possibilities in the dynamic world of data.
This course is designed to equip a Data Engineer with the competencies required to perform various types of data management and analytics other duties in the ICT sector as elaborated in the various units of learning in this curriculum.
Key Skills Gained Upon Completion
- Foundational Computer Science Skills: Mastery of fundamental concepts in computer science to understand data structures and algorithms.
- Mathematical Skills for Data Science: Proficiency in mathematical techniques such as statistics, linear algebra, and calculus for data analysis and interpretation.
- Programming Skills Using Python: Ability to write efficient and scalable code using Python, a versatile programming language widely used in data science.
- Quantitative Modelling Skills: Expertise in building mathematical models to analyse and predict trends in large datasets.
- Databases and Data Warehouses: Understanding of database management systems and data warehousing principles for efficient data storage and retrieval.
- Machine Learning Applications Using Python: Knowledge of machine learning algorithms and techniques to develop predictive models and extract insights from data.
Categories
Short Course
This internal program focuses on 100% practical application in various aspects of Data Science and focuses on specific languages. Progress is assessed at key stages, allowing learners to apply knowledge effectively and receive valuable feedback. Upon completion, participants should be proficient in executing and demonstrating capabilities in a project.
>>Find out more on the short course here
 Data management and analytics diploma; CDACC Program
The course is assessed both internally and externally. Trainers continuously conduct internal assessments, while assessors appointed by TVET CDACC perform external assessments. Successful completion results in a national certificate of competency then issued by TVET CDACC in conjunction with Inceptor Institute of Technology.
Entry Requirements
-High passion and interest in Data management and analytics
-For CDACC Certification –
The student should at least meet one of the following requirements:
- Attained KCSE with a mean grade of C- (Minus)
- Craft Certificate Level 5 in ICT or a related course with one year of continuous work experience
- Hold equivalent qualifications in a related field, as determined by the Kenya National Qualifications Authority (KNQA)/ relevant regulatory body.
Course Details
CDACC Program
- Duration: 3 Years/ 12 Terms
- Cost: 65,000 per term (Assessment fee to be paid separately)
- Industrial Attachment:Upon completing the course or the unit of learning, the learner will undergo an industrial attachment in a Data Management and Analytics firm for a period of at least 480 hours (12 weeks).
BASIC UNITS OF LEARNING
Unit Code | Unit Title | Duration in Hours | Credit Factor |
IT/CU/DE/BC/01/6/A | Communication Skills | 40 | 4 |
IT/CU/DE/BC/02/6/A | Numeracy Skills | 60 | 6 |
IT/CU/DE/BC/03/6/A | Digital Literacy | 60 | 6 |
IT/CU/DE/BC/04/6/A | Entrepreneurial Skills | 100 | 10 |
IT/CU/DE/BC/05/6/A | Employability Skills | 80 | 8 |
IT/CU/DE/BC/06/6/A | Environmental Literacy | 40 | 4 |
IT/CU/DE/BC/07/6/A | Occupational Safety and Health Practices | 40 | 4 |
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COMMON UNITS OF LEARNING
Unit Code | Unit Title | Duration in Hours | Credit Factor |
IT/CU/DE/CC/01/6/A | Basic Electronics | 170 | 17 |
CORE UNITS OF LEARNING
Unit Code | Unit Title | Duration in Hours | Credit Factor |
IT/CU/DE/CR/01/6/A | Foundational Computer Science Skills | 160 | 16 |
IT/CU/DE/CR/02/6/A | Mathematical Skills for Data Science | 250 | 25 |
IT/CU/DE/CR/03/6/A | Programming Skills Using Python | 220 | 22 |
IT/CU/DE/CR/04/6/A | Quantitative Modelling Skills | 180 | 18 |
IT/CU/DE/CR/05/6/A | Python in Data Science | 190 | 19 |
IT/CU/DE/CR/06/6/A | Databases and Data Warehouses | 190 | 19 |
IT/CU/DE/CR/07/6/A | Machine Learning Applications Using Python | 260 | 26 |
IT/CU/DE/CR/08/6/A | Data Mining and Analytics Skills in Big Data Management | 180 | 18 |
IT/CU/DE/CR/09/6/A | Project Management Skills for Data Science | 120 | 12 |
IT/CU/DE/CR/10/6/A | Research Skills for Data Science | 120 | 12 |
IT/CU/DE/CR/11/6/A | Cloud Database Solutions | 160 | 16 |
 | Industrial Attachment | 12 Weeks | 48 |
Ready to take your first step into the world of data analytics? Whether patterns in numbers is what fascinates you or you are eager to make data-driven decisions, our data management and analytics diploma course will equip you with the skills you need to succeed. Enroll now and turn your passion for data into a rewarding career!
For inquiries, you can reach us at (254) 0728456781 or visit us in person at our Nairobi location:
 Hazina Towers, 18th floor, Utalii Lane, opposite Anniversary Towers.
Course Features
- Lectures 0
- Quizzes 0
- Duration 144 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
Requirements
- High passion and interest in Data analysis
- Attained KCSE with a mean grade of C- (Minus)(For CDACC Certification)
- OR Craft Certificate Level 5 in ICT or a related course with one year of continuous work experience
- OR Hold equivalent qualifications in a related field, as determined by the Kenya National Qualifications Authority (KNQA).
Features
- Flexible daytime Morning, Afternoon & Evening Sessions including Weekend Classes.
- Comprehensive Hands-on + Projects