Data Science Training in Salem

Dev Technology Solutions offers Data Science training in Salem, with classroom sessions at our centre in RBT Mall, Meyyanur Byepass Road, Salem, and live online classes. The 14-module syllabus covers Python Basics for Data Science, Database & SQL for Data Science, Data Handling with NumPy and Data Analysis with Pandas, with hands-on practice in every module and real-time project work at the end of the course.

The course suits students, graduates and working professionals who want to move into data science, including those new to Python. It prepares you for roles such as Data Scientist, Data Analyst and Machine Learning Engineer. Placement training (resume building, mock interviews and coding tests) is part of the course, and you can book a free demo class before you enrol. For project experience, continue with our internship programs in Salem; related courses include AI & Machine Learning Training in Salem and Data Analytics with Python Training in Salem.

Data Science training course in Salem

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+91-74021-01006

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Data Science Course Overview

The Data Science with Python Training Course at Dev Technology Solutions, Salem is designed to help students and professionals build a strong foundation in one of today’s most in-demand and future-proof technology domains — Data Science. This comprehensive program covers everything from Python basics to advanced machine learning and data analytics techniques, enabling learners to solve real-world business problems using data-driven approaches. Python has become the industry’s preferred programming language for Data Science due to its simplicity, flexibility, and powerful ecosystem of libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow.

This course is carefully structured to support learners of all levels — from absolute beginners with no prior coding experience to professionals looking to transition into Data Science roles. Training begins with Python fundamentals, covering variables, data types, control statements, functions, file handling, and object-oriented concepts. Students also gain expertise in essential data science tools including Jupyter Notebook, Anaconda, and Google Colab, which form the backbone of modern analytical workflows.

As the course progresses, learners dive into the core areas of Data Science such as data cleaning, data wrangling, statistical analysis, data visualization, exploratory data analysis (EDA), and feature engineering. They work hands-on with real datasets to understand patterns, detect anomalies, and generate meaningful insights. The training then advances into machine learning concepts including regression, classification, clustering, model evaluation, and model optimization using Scikit-learn.

Data Science Syllabus

Introduction to Data Science +
  • What is Data Science?
  • Data Science vs Data Analytics vs Machine Learning
  • Roles in Data Science
  • Data Science Lifecycle
  • Applications in Industry
  • Career Paths
Python Basics for Data Science +
  • Python Syntax & Variables
  • Data Type & Operators
  • Loops & Conditions
  • Functions & Modules
  • Lists, Tuples, Sets & Dictionaries
  • Working with Jupyter Notebook
Database & SQL for Data Science +
  • SQL Basics
  • Filtering, Sorting & Aggregations
  • Joins & Subqueries
  • Group By & Having
  • Connecting Python with Databases
  • Data Extraction Techniques
Data Handling with NumPy +
  • Arrays & Vectorization
  • Indexing & Slicing
  • Mathematical Operations
  • Reshaping Data
  • Broadcasting
  • Performance Benefits
Data Analysis with Pandas +
  • Series & DataFrames
  • Importing Datasets
  • Data Selection & Filtering
  • Data Cleaning & Wrangling
  • Handling Missing Data
  • Merging & Joining
  • Grouping & Aggregation
Exploratory Data Analysis (EDA) +
  • Understanding Dataset Structure
  • Univariate Analysis
  • Bivariate & Multivariate Analysis
  • Detecting Patterns & Relationships
  • Identifying Outliers
  • Generating Business Insights
Data Visualization +
  • Matplotlib Basics
  • Seaborn Charts
  • Plotly Interactive Visuals
  • Histograms, Scatter Plots, Heatmaps
  • Box Plots, Bar & Line charts
  • Dashboard Concepts
Statistics for Data Science +
  • Descriptive Statistics
  • Probability Concepts
  • Distributions
  • Sampling Basics
  • Hypothesis Testing
  • Correlation & Regression
Data Preprocessing & Feature Engineering +
  • Handling Missing Data
  • Outlier Detection
  • Feature Scaling
  • Encoding Techniques
  • Feature Selection & Feature Transformation
  • Train-Test Split
Machine Learning Basics +
  • What is Machine Learning
  • Types of ML
  • Supervised Learning
  • Unsupervised Learning
  • Classification & Regression
  • Model Training & Testing
  • Overfitting & Underfitting
  • Evaluation Metrics
Advanced Machine Learning +
  • Linear & Logistic Regression
  • SVM, Decision Trees, Random Forest
  • KNN
  • Regularization Techniques
  • Hyperparameter Tuning
  • Cross-Validation
  • Ensemble Models
Deep Learning with Python +
  • Neural Networks Basics
  • TensorFlow / Keras Framework
  • Activation Functions
  • Loss Functions & Optimizers
  • Training & Optimization
  • CNN & RNN Concepts
Big Data & Cloud Basics +
  • Introduction to Big Data
  • Hadoop & Spark Overview
  • Cloud Platforms (AWS/GCP/Azure)
  • ML Deployment Basics
  • Model Monitoring
Projects & Interview Preparation +
  • Mini & Major Data Science Projects
  • Visualization & Insights
  • ML Model Development
  • Modal Evaluation
  • Model Deployment Basics
  • Project Presentation and Documentation

Upcoming Data Science Batch Schedule in Salem

Dev Technology Solutions provides flexible batch timings for all students in Salem. Choose a daily evening batch or a weekend batch, in the classroom or online. If this schedule doesn’t match your timing, please let us know — we’ll arrange one that suits your convenience.

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Mon - Sun
TODAYS BATCH
06:00 PM (IST)
(Class 1Hr 30Min) / Per Session
--
Sat (Sat - Sun)
WEEKEND BATCH
10:00 AM (IST)
(Class 3Hrs) / Per Session
--
Sun (Sat - Sun)
WEEKEND BATCH
05:00 PM (IST)
(Class 2Hrs) / Per Session

Can’t find a batch that fits your timing?

Data Science Trainer Profile

Our Data Science trainers at Dev Technology Solutions teach data science, machine learning and Python through practical sessions: each topic is explained, demonstrated and then practised on real examples, with doubt-clearing and reviews of your work.

Sessions are led by trainers with 10+ years of hands-on experience in data science, machine learning and Python. Read about our trainers on the About Us page.

Alongside the technical modules, trainers help you prepare for interviews for roles such as Data Scientist, Data Analyst and Machine Learning Engineer, using the projects you build during the course.

Data Science Course Certificate

After you complete the Data Science training and its project work, Dev Technology Solutions issues a course completion certificate. Employers can check it on our certificate verification page.

The certificate records the Data Science skills you practised, including Python Basics for Data Science, Database & SQL for Data Science and Data Handling with NumPy, and you can add it to your resume and LinkedIn profile together with the code of your course project.

Placement training is included, so you also practise presenting your certificate and project work in interviews, with resume reviews and mock interviews before you apply for jobs.

Sample Dev Technology Solutions course completion certificate

Key Features of Our Data Science Training

Online Training
Practical Coding and Implementation
Structured Learning Path to Ensure Mastery
Experienced Instructor-Led Sessions
Get Trained in Real Industry Environment
Make Yourself Job Ready
Certificate and Placement Support
Hands-on Training in Live Projects
Virtual Learning Portal
Free Demo Classes and Lab Access
Classroom and Industrial Training
Build Reliable and Scalable Applications
Guest Lectures from Industry Experts
Cover Coding in Masterclass
Core + Advanced + Frameworks Training
Master Coding with Live Classes

How We Prepare Students for IT Jobs

Training-to-placement steps: requirement analysis, software training, deployment, communication, resume preparation, mock assessment and placement assistance

Data Science Training in Salem: FAQs

What does the Data Science course in Salem cover?

The syllabus has 14 modules: Introduction to Data Science, Python Basics for Data Science, Database & SQL for Data Science, Data Handling with NumPy, Data Analysis with Pandas, Exploratory Data Analysis (EDA), Data Visualization, Statistics for Data Science, Data Preprocessing & Feature Engineering, Machine Learning Basics, Advanced Machine Learning, Deep Learning with Python, Big Data & Cloud Basics and Projects & Interview Preparation.

Can I take Data Science training online, or only in the classroom?

Both. You can attend classroom sessions at our centre in RBT Mall, Meyyanur Byepass Road, Salem, or join live online classes.

What are the Data Science batch timings?

A daily batch (Monday to Sunday) runs at 6:00 PM IST, 1 hour 30 minutes per session. Weekend batches run on Saturday at 10:00 AM IST (3 hours) and Sunday at 5:00 PM IST (2 hours). If none of these suit you, we can arrange a batch at a time that works for you.

Who can join the Data Science course?

The course suits students, graduates and working professionals who want to move into data science, including those new to Python.

Will I get a certificate after the Data Science course?

Yes. After you finish the training and project work, you receive a Dev Technology Solutions course completion certificate, which employers can check on our certificate verification page.

Do you provide placement support?

Yes. Placement training and assistance include resume building, mock interviews, coding tests and job referrals, to prepare you for roles such as Data Scientist, Data Analyst and Machine Learning Engineer.

What is the Data Science course fee, and can I pay in EMI?

Fees depend on the course and batch, so call +91-74021-01006 or contact us for the current fee. You can pay by card, net banking or UPI, digital wallet, EMI or cash.

Can I attend a free demo class before joining?

Yes. Book a free demo class on this page or call +91-74021-01006.

More questions? See our general FAQs or contact our Salem team.