Data Science professionals work in various highly rewarding roles. In this course, you’ll learn how to design and create websites.
Duration: 12 weeks
Intakes: Jan,April,July,Oct
DATA SCIENCE & MACHINE LEARNING
Data science is an inter-disciplinary field that uses scientific methods and algorithms to extract knowledge. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data. Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing awardwinnerJim Grayimagined data science as a “fourth paradigm” of science (empirical, theoretical, computational and now data-driven) and asserted that “everything about science is changing because of the impact of information technology” and the data deluge. At Techsavanna Software Institute (TSI), will be offering the below for both entry, intermediate and expert level.
- Python
- Machine Learning
- Deep Learning
- Data Analysis
- Artificial Intelligence
- TensorFlow
- R
- Neutral Networks
Fees: KES 80,000
INTAKE: MONTHLY INTAKE
Course Topics for Data science Prep (12 Weeks)
The 12 Weeks Data science Program will be offering the below for both entry, intermediate and expert level.In this class you will learn:
Data Science (Duration: 12 Weeks):
- Introduction
- Data analysis
- Data Visualization
- Advanced data visualization
- Supervised machine learning
- Supervised and unsupervised machine learning
- PCA and Development
- Azure Al Engineering
- Feature Engineering and Selection
- Project
Benard Mariten
A Data Scientist who has considerable expertise and superior knowledge in the subject. With over 4 years of expertise in big data and analytics, and he has aided many businesses in achieving both their short- and long-term objectives.
PROFESSIONAL SKILLS
- Data Visualization
- Data Analysis
- Natural Language Processing
- Predictive Modeling
- Python
- Apply Now
-
Data Science professionals work in various highly rewarding roles. In this course, you’ll learn how to design and create websites.
Duration: 12 weeks
Intakes: Jan,April,July,Oct
- Overview
-
DATA SCIENCE & MACHINE LEARNING
Data science is an inter-disciplinary field that uses scientific methods and algorithms to extract knowledge. Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data. Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing awardwinnerJim Grayimagined data science as a “fourth paradigm” of science (empirical, theoretical, computational and now data-driven) and asserted that “everything about science is changing because of the impact of information technology” and the data deluge. At Techsavanna Software Institute (TSI), will be offering the below for both entry, intermediate and expert level.
- Python
- Machine Learning
- Deep Learning
- Data Analysis
- Artificial Intelligence
- TensorFlow
- R
- Neutral Networks
Fees: KES 80,000
INTAKE: MONTHLY INTAKE
- Curriculum
-
Course Topics for Data science Prep (12 Weeks)
The 12 Weeks Data science Program will be offering the below for both entry, intermediate and expert level.In this class you will learn:
Data Science (Duration: 12 Weeks):
- Introduction
- Data analysis
- Data Visualization
- Advanced data visualization
- Supervised machine learning
- Supervised and unsupervised machine learning
- PCA and Development
- Azure Al Engineering
- Feature Engineering and Selection
- Project
- Teaching Team
-
Benard Mariten
A Data Scientist who has considerable expertise and superior knowledge in the subject. With over 4 years of expertise in big data and analytics, and he has aided many businesses in achieving both their short- and long-term objectives.
PROFESSIONAL SKILLS
- Data Visualization
- Data Analysis
- Natural Language Processing
- Predictive Modeling
- Python