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Data Science
Learn how to build powerful, efficient, and insightful data solutions using Python and R, mastering key skills for data analysis, visualization, and machine learning.
2025 Intake Ongoing
Data Science Full Course
Part-time Remote
Start Date:
Open/Private
Course Duration:
3 Months
Mode of Learning:
Part Time & Online, Evening Classes | Mon - Fri 6 pm - 9 pm E.A.T
Tuition Fee:
Ksh 20,000
Learn Data Science from Scratch
In today’s data-driven world, mastering Data Science is essential for anyone aiming to work effectively with data. This comprehensive course provides a strong foundation in data science, equipping you with the skills needed for data manipulation, analysis, and visualization. Perfect for data enthusiasts and professionals, the course emphasizes practical, hands-on experience with real-world applications. By the end, learners will confidently apply data science techniques to uncover insights and make data-driven decisions across diverse industries.
Courses Details
What is Data Science?
Data Science is a multidisciplinary field that combines statistics, programming, data analysis, and machine learning to extract valuable insights from structured and unstructured data. It involves collecting, cleaning, analyzing, and interpreting data to support decision-making and solve complex problems.
Unlock the Power of Data: Master Python and R for Advanced Data Analysis and Visualization in Data Science
Data Science Course Overview
Data Science Full Course
Modules:
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Introduction to Python for Data Science: Understanding Python programming fundamentals and its application in data science.
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Numpy and Pandas: Mastering Python libraries for data manipulation and analysis.
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Data Visualization with Python: Creating static, interactive, and animated plots using Matplotlib, Seaborn, and Plotly.
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Mathematics and Statistics for Data Science: Concepts in probability, distributions, hypothesis testing, and linear algebra.
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Exploratory Data Analysis (EDA): Techniques to summarize and visualize data before applying machine learning models.
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SQL for Data Science: Querying databases and manipulating data with SQL.
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Machine Learning Fundamentals: Supervised and unsupervised algorithms like linear regression, k-means, and decision trees.
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Machine Learning Projects with Deployment: Hands-on projects focusing on model deployment using Flask, Docker, and cloud services.
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Deep Learning: Neural networks, CNNs, RNNs, and frameworks like TensorFlow and Keras.
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Natural Language Processing (NLP) or Computer Vision: In-depth exploration of NLP (text classification, sentiment analysis) or Computer Vision (image recognition, object detection).
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Project Work: Final project to apply all learned techniques to solve a real-world problem.
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Data Science Skills Empower You to Analyze, Model, and Visualize Data to Uncover Insights, Driving Informed Decisions. Mastering Data Science equips you with the tools to tackle complex problems, from data cleaning and exploration to machine learning and advanced visualization. These skills enable you to extract actionable insights from large datasets and make data-driven decisions. Start Your Journey Today!
Career Opportunities for Data Science Courses
Data Scientist:
Analyze and interpret data.
Data Analyst:
Extract insights from data.
Data Engineer:
Design and manage databases.
BI Analyst:
Visualize data for strategy.
ML Engineer
Build predictive data models.
