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Genius Groove

SALEM'S LEADING ONLINE & OFFLINE

IT Training Institute

Data Science & Analytics

What is Data Science & Analytics?

This Data Science and Analytics course is designed to help students, beginners, and aspiring data professionals become job-ready Data Analysts and Scientists through practical, industry-oriented training. The program covers the complete data lifecycle, including data cleaning, exploratory data analysis, statistical modeling, machine learning, and interactive dashboards. Students will gain hands-on experience with Python, Pandas, SQL, Excel, and Power BI through practical assignments and real-world data science projects.

Full Stack Web Development

Data Analytics

Extracting actionable insights from raw data using statistical techniques and SQL.

Machine Learning

Building predictive models and algorithms to forecast trends and solve business problems.

Data Visualization

Designing interactive dashboards and reports using tools like Power BI and Matplotlib.

About Data Science Professionals

Data Scientists and Analysts work in top tech companies, research institutions, and enterprises across various industries. They are responsible for making sense of vast amounts of data, identifying trends, and presenting findings that drive strategic business decisions through statistical analysis, predictive modeling, data visualization, and interactive dashboards.

Course Details
Duration 180 hrs
Class Hours 2 hours/day
Mode Online and Offline
Batches Weekdays
Languages English & Tamil
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Key Responsibilities of AI & ML Engineers

Data Cleaning

Preparing and cleaning large datasets for accurate statistical analysis.

Statistical Analysis

Applying statistical methods to identify complex patterns and business trends.

Data Visualization

Creating interactive dashboards and visual reports using Power BI and Tableau.

Predictive Modeling

Building machine learning models to forecast outcomes and solve business problems.

Data Cleaning

Preparing and cleaning large datasets for accurate statistical analysis.

Neural Networks

Building and training deep neural networks for complex pattern recognition.

NLP Solutions

Developing natural language processing systems for text and speech analysis.

Computer Vision

Implementing image recognition and video analysis models using OpenCV.

Course Highlights

Python for Data Analysis

Master Python syntax, data structures, and libraries essential for robust data analytics.

SQL

Learn to write complex queries, manage databases, and extract meaningful data efficiently.

Data Cleaning

Handle missing values, outliers, and format data to ensure high-quality datasets.

Statistics

Apply probability, hypothesis testing, and statistical methods to validate your findings.

Data Visualization

Transform numbers into compelling visual stories using industry-standard graphical tools.

Power BI

Connect multiple data sources and create interactive, business-ready reports.

Dashboard Development

Design intuitive and dynamic dashboards that help stakeholders monitor KPIs in real-time.

Real-Time Analytics Projects

Work on live datasets and industry case studies to build a strong professional portfolio.

Tools & Technologies Covered

Python The most popular language for data analysis, scripting, and machine learning.
Pandas Powerful library for data manipulation, cleaning, and structural analysis.
NumPy Essential for numerical computing and handling large multi-dimensional arrays.
SQL The standard language for querying, managing, and extracting data from relational databases.
MySQL A widely used open-source relational database management system for data storage.
Excel Fundamental tool for quick data entry, pivot tables, and preliminary analysis.
Power BI Microsoft's leading business analytics service for interactive visualizations and BI capabilities.
Matplotlib A comprehensive library for creating static, animated, and interactive visualizations in Python.
Seaborn Python data visualization library based on Matplotlib that provides a high-level interface.
Jupyter Create interactive notebooks that contain live code, equations, and visualizations.

Frequently Asked Questions

The Data Science & Analytics course in Salem teaches students how to clean, analyze, and visualize complex datasets to make data-driven decisions. At Genius Groove, students can learn practical data skills, including Python, SQL, Power BI, Statistics, and real-time analytics project development.
The Data Science & Analytics course at Genius Groove has a duration of approximately 4.5 to 5 months. The course covers data processing, predictive modeling, data visualization, and practical projects to help students build job-ready technical skills.
Data Science training at Genius Groove primarily focuses on Python and SQL, along with essential tools such as Pandas, Power BI, Excel, and Matplotlib. Students learn to process large datasets, develop predictive models, and create interactive data visualizations.
Students, fresh graduates, job seekers, and working professionals interested in data science and analytics can join the course in Salem. Beginners with basic computer knowledge can start learning SQL and Excel, and gradually develop advanced analytics skills through hands-on training.
After completing Data Science training, learners can explore career opportunities such as Data Analyst, Data Scientist, Business Intelligence (BI) Analyst, Data Engineer, and Machine Learning Specialist. Career opportunities depend on individual skills, project experience, and employer requirements.
The Data Science course at Genius Groove has a listed fee of ₹45,000, with registration starting at ₹5,000 and EMI payment options available. Students can also enquire about current offers, including the available 10% discount, by contacting Genius Groove.
Genius Groove in Salem offers Data Science training with practical learning, project development, placement training, and a free 15-day internship as part of its advertised course offering. Students interested in learning data analytics can contact Genius Groove to enquire about course schedules, admission, and training details.