Data Science Course in Coimbatore
Build practical Data Science skills with Python, SQL, data analysis, visualization, statistics, and machine learning fundamentals. Work on practical projects and develop the skills needed to explore data-driven career opportunities.
- Duration3 to 6 Months
- ModeOffline
- Live Projects2 Production Projects
- Career Support100% Placement Support
Data Science & AI
Master Your Domain
Who Is This Course For?
This course can be suitable for learners starting their Data Science journey, freshers, graduates, or professionals looking to build practical skills in Python, SQL, data analysis, and machine learning fundamentals.
Why Learn This Stack?
Data Science combines statistical analysis, data processing, and machine learning to derive meaningful insights from raw data. Learning Python, SQL, and visualization tools enables you to analyze complex datasets and support data-driven decision-making across industries.
- Duration3 to 6 Months
- Projects2 Live Projects
- BatchSmall Interactive Batches
- ModeOffline
Enrollment Perks
- Practical, project-based learning with hands-on data analysis practice
- Guided technical training and project portfolio development
- Career guidance and placement assistance through resume preparation and mock interviews
- Course completion certificate upon meeting program requirements
Key Learning Pillars
Concept-First Learning
Understand the fundamentals of Python, SQL, statistics, data analysis, and machine learning before moving into advanced applications.
Project-Driven Practice
Apply what you learn through practical exercises and projects that help you move from concepts to working solutions.
Practical Skills
Develop skills that can be applied to data analysis, reporting, visualization, and introductory machine learning tasks.
Program Outcomes
Detailed Curriculum
Phase 01 — Python & Statistical Fundamentals
Learn the Python and statistics foundations required for data analysis.
- Python syntax & analytics data structures
- Statistical fundamentals & probability theory
- Descriptive statistics & hypothesis testing
- Data collection & data processing with NumPy & Pandas
Phase 02 — Data Analysis & SQL
Learn how to query, clean, transform, analyze, and work with datasets.
- SQL database querying, filtering, & sorting
- Database joins, aggregations, & window functions
- Data cleaning, wrangling, & handling missing values in Pandas
- Transforming, merging, & reshaping datasets
Phase 03 — Data Visualization & Machine Learning
Learn visualization techniques and machine learning fundamentals through practical exercises.
- Data visualization using Matplotlib & Seaborn
- Designing BI dashboards with Power BI / Tableau
- Supervised & unsupervised machine learning concepts
- Linear regression, classification algorithms, & model evaluation
Industrial Projects
Customer Churn Prediction
Build a machine learning project using customer-related data to identify patterns that may indicate customer churn. Learn the workflow from data preparation and analysis to model evaluation.
Retail Performance BI System
Build a dashboard-based project to analyze retail sales trends, product performance, and business metrics using suitable data visualization tools.
Technologies & Tools
Career Opportunities
A Data Science foundation can help learners explore entry-level roles related to data analysis, reporting, business intelligence, and junior data science. Build relevant skills first. Explore suitable opportunities based on your skills, portfolio, experience, and employer requirements.
Course Completion Certificate
Receive a certificate applicable to the selected RootAxis Data Science program upon meeting the course completion requirements.
Frequently Asked Questions
Find answers about curriculum modules, projects, eligibility, certification, and career support.
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- Placement Assistance
- Verified Certification Program
- Real-Time Projects
- Expert Mentorship
