Data Analytics with Python Training in Salem

Dev Technology Solutions offers Data Analytics with Python training in Salem, with classroom sessions at our centre in RBT Mall, Meyyanur Byepass Road, Salem, and live online classes. The 13-module syllabus covers Python Programming Fundamentals, Working with NumPy, Data Analysis using Pandas and Data Visualization, with hands-on practice in every module and real-time project work at the end of the course.

The course suits students, graduates and professionals from any background who want to analyse data and build reports and dashboards. It prepares you for roles such as Data Analyst, Business Analyst, MIS / Reporting Analyst and Power BI Developer. 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 Data Science Training in Salem and MySQL Training in Salem.

Data Analytics with Python training course in Salem

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Data Analytics Course Overview

The Data Analytics 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 career-oriented technology domains — Data Analytics. This comprehensive program covers everything from Python fundamentals to advanced data analysis and visualization techniques, enabling learners to analyze real-world business data and make data-driven decisions effectively. Python has become the industry’s preferred programming language for Data Analytics due to its simplicity, flexibility, and powerful ecosystem of libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Plotly.

This course is carefully structured to support learners of all levels — from absolute beginners with no prior programming experience to working professionals looking to transition into analytics and business intelligence roles. Training begins with Python fundamentals, covering variables, data types, loops, functions, file handling, and object-oriented programming concepts. Students also gain practical experience with industry-standard tools such as Jupyter Notebook, Anaconda, Excel integration, and Google Colab for efficient data analysis workflows.

As the course progresses, learners dive into the core areas of Data Analytics such as data cleaning, data transformation, statistical analysis, exploratory data analysis (EDA), dashboard creation, and data visualization. They work hands-on with real-time datasets to identify trends, patterns, and actionable business insights. The training also introduces reporting techniques, KPI analysis, business forecasting basics, and analytical problem-solving using Python libraries and visualization tools.

Data Analytics Syllabus

Introduction to Data Analytics +
  • Overview of Data Analytics
  • Importance of Data Analytics
  • Types of Analytics
  • Data Analytics Lifecycle
  • Data Analytics vs Data Science
  • Career Opportunities in Analytics
Python Programming Fundamentals +
  • Python Installation & Setup
  • Variables & Data Types
  • Operators & Expressions
  • Loops & Conditional Statements
  • Functions & Modules
  • List, Tuples, Sets & Dictionaries
  • List Comprehension
Working with NumPy +
  • Introduction to NumPy Arrays
  • Creating & Initializing Arrays
  • Array Operations
  • Indexing & Slicing
  • Reshaping Arrays
  • Mathematical Functions
  • Broadcasting
  • Data Manipulation Techniques
Data Analysis using Pandas +
  • Series & DataFrames
  • Importing CSV & Excel Files
  • Data Selection & Filtering
  • Sorting Data & Data Cleaning
  • Data Handling
  • Data Type Conversion
  • Grouping & Aggregation
  • Merging & Joining DataFrames
Data Visualization +
  • Introduction & Matplotlib Basics
  • Seaborn Charts
  • Bar Charts, Pie Charts, Line Charts & Histograms
  • Heatmaps, Box Plots & Scatter Plots
  • Interactive Visualization with Plotly
Statistics for Analytics +
  • Descriptive Statistics
  • Mean, Median, Mode & Range
  • Variance & Standard Deviation
  • Probability Concepts
  • Distributions
  • Correlation Analysis
  • Regression Basics
  • sampling Basics
Exploratory Data Analysis (EDA) +
  • Understanding Datasets
  • Data Exploration Techniques
  • Univariate, BiVariate & Multivariate Analysis
  • Trend & Pattern Analysis
  • Outlier Detection
  • Correlation Analysis
  • Generating Business Insights
SQL for Data Analytics +
  • Introduction to SQL
  • Database & Tables
  • CRUD Operations
  • Aggregate Functions
  • Grouping By & Having
  • Joins & Subqueries
  • Connecting Python with Databases
Business Analytics Concepts +
  • Key Performance Indicators (KPIs)
  • Sales & Marketing Analytics
  • Financial Data Analysis
  • Customer Behavior Analysis
  • Trend Analysis
  • Business Reporting Techniques
  • Data-Driven Decision Making
Data Cleaning & Transformation +
  • Handling Missing Values
  • Removing Duplicate Data
  • Data Formatting
  • Data Type Conversion
  • Data Transformation
  • String Data, Date & Time Data Handling
  • Outlier Treatment
  • Feature Engineering Basics
Power BI & Dashboard Basics +
  • Introduction to Power BI
  • Data Import & Transformation
  • Power Query Basics
  • Creating Visualization & Dashboards
  • Filter & Slicers
  • Interactive Reports
  • Publishing & Sharing Reports
Cloud & Big Data Basics +
  • Introduction to Big Data
  • Big Data vs Tradtional Data
  • Cloud Platforms Overview
  • AWS / Azure / GCP Basics
  • Data Storage Concepts
  • Analytics on Cloud
Projects & Placement Support +
  • Mini & Real-time Projects
  • Real time Business Case Studies
  • EDA Projects
  • Dashboard Projects
  • End-to-End Analytics Project

Upcoming Data Analytics with Python 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 Analytics with Python Trainer Profile

Our Data Analytics with Python trainers at Dev Technology Solutions teach data analysis, SQL and Power BI 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 analysis, SQL and Power BI. Read about our trainers on the About Us page.

Alongside the technical modules, trainers help you prepare for interviews for roles such as Data Analyst, Business Analyst, MIS / Reporting Analyst and Power BI Developer, using the projects you build during the course.

Data Analytics with Python Course Certificate

After you complete the Data Analytics with Python 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 Analytics with Python skills you practised, including Python Programming Fundamentals, Working with NumPy and Data Analysis using Pandas, 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 Analytics with Python 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 Analytics with Python Training in Salem: FAQs

What does the Data Analytics with Python course in Salem cover?

The syllabus has 13 modules: Introduction to Data Analytics, Python Programming Fundamentals, Working with NumPy, Data Analysis using Pandas, Data Visualization, Statistics for Analytics, Exploratory Data Analysis (EDA), SQL for Data Analytics, Business Analytics Concepts, Data Cleaning & Transformation, Power BI & Dashboard Basics, Cloud & Big Data Basics and Projects & Placement Support.

Can I take Data Analytics with Python 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 Analytics with Python 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 Analytics with Python course?

The course suits students, graduates and professionals from any background who want to analyse data and build reports and dashboards.

Will I get a certificate after the Data Analytics with Python 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 Analyst, Business Analyst, MIS / Reporting Analyst and Power BI Developer.

What is the Data Analytics with Python 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.