3 Month
VKI007
Data Science
Learn Data Science through practical training in Python, statistics, data analysis, visualisation, machine learning and AI. Work with real-world datasets and develop job-ready skills to uncover insights and make data-driven decisions.
The Data Science Course at V Kode Infotech is designed for students, graduates, job seekers and working professionals who want to build practical skills in data analysis, machine learning and artificial intelligence.
The course provides hands-on training in Python programming, statistics, data collection, data cleaning, exploratory data analysis and data visualisation. Learners will work with essential tools and libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, SQL, Jupyter Notebook, Power BI and Tableau.
Students will learn how to analyse complex datasets, identify patterns, build machine-learning models and present meaningful insights through reports and interactive dashboards. The programme covers supervised and unsupervised learning, model evaluation, feature engineering and an introduction to deep learning and generative AI.
Through practical assignments, real-world datasets and industry-focused projects, learners will develop analytical thinking and problem-solving skills. After completing the course, they can explore career opportunities such as Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Machine Learning Associate and Data Visualisation Specialist.
The course provides hands-on training in Python programming, statistics, data collection, data cleaning, exploratory data analysis and data visualisation. Learners will work with essential tools and libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, SQL, Jupyter Notebook, Power BI and Tableau.
Students will learn how to analyse complex datasets, identify patterns, build machine-learning models and present meaningful insights through reports and interactive dashboards. The programme covers supervised and unsupervised learning, model evaluation, feature engineering and an introduction to deep learning and generative AI.
Through practical assignments, real-world datasets and industry-focused projects, learners will develop analytical thinking and problem-solving skills. After completing the course, they can explore career opportunities such as Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Machine Learning Associate and Data Visualisation Specialist.
Level
Advanced
Mode
Hybrid
Certificate
Included
Placement
Support Available
Tools Covered
Course Syllabus
Introduction to Data Science
Python Programming
Mathematics and Statistics
NumPy
Data Analysis with Pandas
Data Cleaning and Preparation
QL and Database Fundamentals
Data Visualisation
Exploratory Data Analysis
Machine Learning Fundamentals
Supervised Learning
Unsupervised Learning
Model Evaluation
Business Intelligence
Introduction to Deep Learning and AI
Practical Projects and Career Preparation