Data Science with Software Development Course
- BECOME A WEB DEVELOPER. SOFTWARE DEVELOPER. DATA SCIENTIST. DATA ANALYST. MACHINE LEARNING ENGINEER. DATA ENGINEER. AI ENGINEER. DEEP LEARNING ENGINEER. BUSINESS ANALYST AND MUCH MORE
Be a well rounded Data Scientist as well as be highly sought after in the job market by learning data analytics, Artificial Intelligence & Web Development. In the current world of Data & AI, web applications utilizing the same will be on demand. Data scientists are required to utilize data to generate insights as well as train AI models to be used in the real world.
In this course you will be fully immersed in an intensive training hands on experience where you will be build a real web application where you will integrate it with AI.
The modules offered under this course:
- Introduction to Web Applications Development
- Front End & Back End Development
- SQL & No SQL Databases
- Restful APIs
- Introduction to Data Science
- Data Analytics
- Machine Learning
- Deep Learning
- Project Work
- Assessment
FEE PAYMENT
- One Time Payment (Get 10% OFF)
- Installments (3) with Ksh 40,000 paid as first installment.
KES 120,000
KES 105,000
- No Extra Charges (No Exam Fees/ Certification Fees/ Registration Fees)
Course Duration
- Full-time Classes (Physical & Virtual)
Monday to Thursday (3 hrs Daily)
6 Months
- Part-time Weekend Classes
Saturday (5 hours)
8 Months
Frequently Asked Questions
No, everything will be taught from scratch.
- A laptop/ computer (Preferably with 8GB RAM or more) with stable internet connection
- Possess basic computer skills
- Be eager to learn
- Be available for classes
- This course is designed for individuals interested in building a career in data science and software development. It is suitable for beginners with little to no programming experience as well as professionals looking to expand their skills in these fields.
- Friendly trainers
- Anyone can be our student
- Flexible payment plan
- Discounted fees
- Multiple delivery methods (On-site & Virtual)
- Heavily hands-on/ practical
- Access to our mentorship network
- Internationally recognized certification
- Access our other courses using alumni discount code.
- Data Scientist: Data scientists are responsible for collecting, analyzing, and interpreting large datasets to extract actionable insights and solve complex problems. They utilize techniques from statistics, machine learning, and data mining to uncover patterns and trends in data.
- Data Analyst: Data analysts focus on examining data to identify trends, develop reports, and provide insights to support business decision-making. They often work with structured data using tools like SQL, Excel, and visualization software.
- Machine Learning Engineer: Machine learning engineers design, build, and deploy machine learning models and systems that can make predictions or decisions autonomously. They work with large datasets and implement algorithms using programming languages like Python or R.
- Business Intelligence Analyst: Business intelligence analysts gather and analyze data to provide insights into business operations, market trends, and customer behavior. They develop dashboards, reports, and data visualizations to communicate findings to stakeholders.
- Data Engineer: Data engineers design and maintain the infrastructure needed to collect, store, and process large volumes of data. They build data pipelines, manage databases, and ensure data quality and accessibility for analysis.
- Data Architect: Data architects design the overall structure of databases and data systems to ensure they meet the organization's needs for data storage, integration, and accessibility. They collaborate with stakeholders to define data requirements and develop data models and schemas.
- AI Research Scientist: AI research scientists conduct research and develop new algorithms, models, and techniques to advance the field of artificial intelligence. They explore areas such as natural language processing, computer vision, and reinforcement learning.
- Quantitative Analyst (Quant): Quants apply mathematical and statistical methods to analyze financial data, develop trading strategies, and manage investment portfolios. They work in finance, investment firms, and trading companies.
- Data Science Consultant: Data science consultants provide expertise and guidance to organizations on leveraging data for business insights and decision-making. They analyze data, develop custom solutions, and help implement data-driven strategies.
- Academic Researcher: Academic researchers in data science work in universities and research institutions to conduct studies, publish papers, and advance knowledge in areas such as machine learning, data mining, and computational statistics.
Software Development will cover the web app development MERN (MongDB, Express JS, React Js, Node JS) Stack & MySQL.
The course will cover popular data science libraries and tools such as Python, Pandas, NumPy, scikit-learn, TensorFlow, Keras and PyTorch, among others. Participants will gain hands-on experience with these tools through practical exercises and projects.
