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Data Science Courses In Madurai
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Top 7 Data Science Courses in Madurai with Placement
Welcome to our list of the Top 7 Data Science Course Institutes in Madurai!
Madurai, a historic city in Tamil Nadu, India, renowned for its rich cultural heritage and ancient temples, is now poised at the brink of a technological transformation, embracing the promising future of data science.
With a growing emphasis on education and technology, Madurai is witnessing a surge in interest and investment in data science. The city’s academic institutions are adapting to this trend by offering courses and programs in data science, preparing a new generation of professionals for the digital age.
As Madurai embraces data science, the city is expected to witness a significant economic boost. Industries ranging from healthcare and agriculture to manufacturing and services are increasingly relying on data-driven insights for decision-making. This shift is not only enhancing efficiency but also creating new job opportunities for the local workforce. The future of data science in training Madurai holds the promise of a vibrant and tech-savvy ecosystem, contributing to the city’s overall development and global competitiveness.
This article will talk about the Top 7 Data Science Courses in Madurai, why these courses are important, and the benefits of taking them in Madurai, India so let’s start.
Comparison Chart: Top 7 Data Science Courses in Madurai with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Madurai, then you have come to the right place.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online & Offline | 2013 | INR 30k-90k | 100%* |
| 2 | Edureka learning center | Online & Offline | 2011 | INR 89,999 | 100% |
| 3 | Livewire | Online & Offline | 2013 | INR 40,000 | 100% |
| 4 | IPCS Global | Online & Offline | 2013 | INR 55,000 | 100% |
| 5 | Elysium Academy | Online & Offline | 2012 | INR 40,000 | 100% |
| 6 | Networkz Systems | Offline | 2017 | INR 35,000 | 100% |
| 7 | FITA Academy | Online & Offline | 2017 | INR 30,000 | 100% |
What is Data Science and its Importance?
Data Science involves extracting insights from vast datasets using scientific approaches, processes, and algorithms. The term emerged with the evolution of big data, data analysis, and quantitative statistics. In today’s context, the significance of data science and analytics has escalated due to the transformation of data. Previously, data was structured, compact, and handled by traditional BI tools. However, contemporary data is predominantly semi-structured or unstructured, incorporating multimedia like photos, audio, and videos. Consequently, advanced analytical methods are imperative for managing such diverse data.
The demand for data scientists is expanding in tandem with the growing value of data. They are integral to various sectors, including commerce, professions, government institutions, and non-profit organizations. Data scientists wear different hats, acting as information and computer scientists, database and software programmers, curators, and knowledgeable annotators. Their collective expertise is vital for the effective administration of digital data. Data scientists invest considerable effort in navigating through extensive datasets to uncover pertinent information, identify patterns, and establish designs that inform future goals. This underscores the increasing importance and recognition of data science and the pivotal role played by data scientists.
Top 7 Data Science Courses in Madurai
1. Digiperform
Digiperform stands out as India’s largest training provider, specializing in digital skills. Our comprehensive course curriculum is meticulously crafted by a team of over 50 experts hailing from the Data Science industry. We actively seek input and suggestions from 450 innovative businesses across Asia to ensure our courses stay ahead of industry trends.
Our curriculum is thoughtfully designed to encompass the skills required for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach, combining practical exercises, research, and assignments to provide you with a well-rounded and practical learning experience.
Why Choose Digiperform Online Data Science Course?
Choosing Digiperform’s Online Data Science Course offers a transformative learning experience for several reasons. The program combines comprehensive theoretical knowledge with practical applications, ensuring a well-rounded understanding of data science concepts.
With a curriculum designed by industry experts, students gain insights into the latest tools and techniques, staying abreast of industry trends. The course’s online format provides flexibility, accommodating diverse schedules. Additionally, Digiperform emphasizes hands-on projects, enabling students to apply theoretical knowledge in real-world scenarios.
The supportive learning environment and mentorship further enhance the educational journey, making Digiperform’s Online Data Science Course a top choice for those seeking a robust and practical education in this dynamic field.
Data Science Online Course: Advantages
Enrolling in a Data Science Online Course presents a myriad of advantages in today’s dynamic and technologically driven landscape. Firstly, the flexibility of an online format allows learners to tailor their education to fit their schedules, accommodating professionals and students alike. Access to diverse resources, including recorded lectures, interactive assignments, and virtual labs, fosters a self-paced and comprehensive learning experience. The online platform enables students to engage with cutting-edge tools and technologies used in the field, ensuring they are well-equipped for real-world applications.
Moreover, online courses often feature industry experts as instructors, offering invaluable insights and practical knowledge. The collaborative filtering nature of virtual forums and discussion boards allows students to interact with peers globally, fostering a diverse learning community. Additionally, online courses often provide lifetime access to course materials, allowing continuous learning and reference beyond the course duration.
Cost-effectiveness is another notable advantage, eliminating the need for commuting or relocating for education. The absence of geographical constraints expands access to renowned institutions and instructors worldwide. Importantly, online Data Science courses frequently incorporate hands-on projects, simulating real-world scenarios and bolstering practical skills.
In conclusion, opting for a Data Science Online Course delivers a flexible, collaborative filtering, and cost-effective educational experience, positioning learners at the forefront of this rapidly evolving field and preparing them for the challenges of the data-driven future.
Data Science Course Syllabus
Module 1: Introduction to Data Science | Introduction to the Industry & Buzzwords Industrial application of data science Introduction to different Data Science Techniques Important Software & Tools Career paths & growth in data science |
Module 2: Introduction to Excel
| Introduction to Excel- Interface, Sorting & Filtering,
Excel Reporting- Basic & Conditional Formatting
Essential Excel Formulae
Layouts, Printing and Securing Files |
Module 3: Introduction to Stats
| Introduction to Statistics & It’s Applications Different types of Data Population vs Sample Sampling Techniques Intro: Inferential vs. descriptive statistics |
Module 4: Descriptive Stats Using Excel Datasets | Categorical Variables Visualization Using Excel Charts- FDT, Pie Charts, Bar Charts & Pareto Numerical Variables Visualization of Frequency & Absolute Frequency- Using Histogram, Cross Table & Scatter Plot Measure of Spread ( Mean, Mode , Median) Measure of Variance( Skewness, SD, Variance, Range, Coef. Of Variance, Bivariate Analysis, Covariance & Correlation) |
Module 5: Inferential Stats Using Excel Datasets | Introduction to Probability Permutation & Combinations Types of events Normal distribution Standard Normal distribution Normal vs. Standard Normal distribution Confidence Intervals & Z-Score Hypothesis Testing & It’s Types |
Module 6: Database Design & MySQL | Relational Database theory & Introduction to SQL MySQL Installation Database Creation in the MySQL Workbench Querying in MySQL Joins and Set Operations SQL Practice Case Study Window Functions Case Statements, Stored Routines and Cursors Ø Query Optimisation and Best Practices Ø Problem-Solving Using SQL |
Module 7: Data Visualization Using Advanced Excel
| Introduction LOOKUP functions Pivot Tables WHATIF Analysis Dashboard Creation Recording Macros Advanced Visualizations- PIVOT Charts, Sparklines, Waterfall Charts Data Analysis ToolPak – Regression in Excel |
Module 8: Data Visualization Using Tableau | Introduction to Tableau Introduction What is Data Analytics? Why Data Visualisation? What is Tableau? Why Tableau? Tableau vs Excel and PowerBI Exploratory and Explanatory Analysis Getting started with Tableau Visualizing and Analyzing data with Tableau – I Introduction Bar Charts Line Charts and Filters Area Charts Box plots and Pivoting Maps and Hierarchies Pie Charts Treemaps and Grouping Dashboards Visualizing and Analyzing Data with Tableau – II Introduction Joins and Splits Numeric and String functions Logical and Date functions Histograms and parameters Scatter Plots Dual Axis Charts Top N Parameters and Calculated Fields Stacked bar Charts Dashboards – II and Filter Actions Storytelling Summary |
Module 9: Python Programming
| Installing Anaconda & Basics of Python Introduction to programming languages Compiler vs Interpreter Getting Started With Python Introduction to jupyter Notebooks Identifiers, Keywords Print function Comment, Indentation Data Types Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions Data Structures in Python Introduction Lists Tuples Sets Dictionaries Practice Exercise Summary Operator Input and Output Different Arithmetic , logical and Relational operators Input, Output function Eval function Format Function Control Flow If elif else statement For and while loops Break , continue and Pass statement List and dictionary comprehensions Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions File Handling Purpose of file handling Different function in file handling (open,read, write,close) Different modes (r,w,a,r+,w+,a+) With block Exception Handling, OOPX & Regex What is exception handling Try, except, else and finally block Different types of Exception Concept of Oops Different functions in Regex Metacharacters in Regex |
Module 10: Python For Data Science | NumPy Introduction to NumPy Basics of NumPy Operations Over 1-D Arrays Practice Exercise I Multidimensional Arrays Creating NumPy Arrays Mathematical Operations on NumPy Mathematical Operations on NumPy II Computation Times in NumPy vs Python Lists Practice Exercise II Pandas Introduction to Pandas Basics of Pandas Pandas – Rows and Columns Describing Data Indexing and Slicing Operations on Dataframes Groupby and Aggregate Functions Merging DataFrames Pivot Tables Practice Exercise |
Module 11: Data Visualization Using Python- Matplotlib & Seaborn
| Introduction to Data Visualisation with Matplotlib Introduction to Matplotlib The Necessity of Data Visualisation Visualisations – Some Examples Facts and Dimensions Bar Graph Scatter Plot Line Graph and Histogram Subplots Choosing Plot Types Summary Data Visualisation: Case Study Introduction Case Study: Mind Map Case Study Overview Data Handling and Cleaning: I Data Handling and Cleaning: II Sanity Checks Outliers Analysis with Boxplots Histograms Summary Practice Questions Data Visualization with Seaborn Introduction Distribution Plots Styling Options Pie – Chart and Bar Chart Scatter Plots Pair Plots Revisiting Bar Graphs and Box Plots Heatmaps Line Charts Stacked Bar Charts Case Study Summary Plotly Practice Questions |
Module 12: Exploratory Data Analysis | Data Sourcing Module Introduction Introduction to EDA Public and Private Data Private Data Public Data Web Scraping-I Web Scraping-II Summary Data Cleaning Introduction Data Types Fixing the Rows and Columns Impute/Remove Missing Values Handling Outliers Standardising Values Fixing Invalid Values and Filter Data Practice Questions Summary Univariate Analysis Introduction to Univariate Analysis Categorical Unordered Univariate Analysis Categorical Ordered Univariate Analysis Statistics on Numerical Features Graded Questions Summary Bivariate and Multivariate Analysis Introduction Numeric – Numeric Analysis Correlation vs Causation Numerical – Categorical Analysis Categorical – Categorical Analysis Multivariate Analysis Graded Questions Summary Module Summary |
Module 13: Supervised Learning Model - Regression | Introduction to Simple Linear Regression Introduction to Simple Linear Regression Introduction to machine learning Regression line Best fit line Strength of simple linear regression Simple linear regression in python Assumptions of simple linear regression Reading and understanding the data Hypothesis testing in linear regression Building a linear model Residue analysis and predictions Linear Regression using SKLearn Multiple Linear Regression Motivation-when one variable is not enough Moving from SLR to MLR-new considerations Multi collinearity Dealing with categorical variables Model assessment in comparison Feature selection Multiple Linear Regression in Python Reading and understanding the data Data preparation Initial steps Building the model I & II Residue analysis and predictions Variable selection using RFE Industry Relevance of Linear Regression Linear regression revision Prediction versus projection Media company case study Exploratory data analysis Model building - I, II & III Assessing the model Interpreting the results |
Module 14: Supervised Learning Model - Classification | Univariate Logistic Regression Binary classification Sigmoid curve Finding the best fit sigmoid curve - I Finding the best fit sigmoid curve - II Odds and log Odds Multivariate Logistic Regression - Model Building Multivariate Logistic Regression - Model Building Data cleaning and preparation - I & II Building your first model Feature elimination using RFE Confusion metrics and accuracy Manual feature elimination Multivariate Logistic Regression - Model Evaluation Multivariate Logistic Regression - Model Evaluation Metrics beyond accuracy-sensitivity and specificity Sensitivity and specificity in Python Understanding ROC curve ROC curve in python Finding the optimal threshold Model evaluation metrics - exercise Precision and recall Making predictions Logistic Regression - Industry Applications - Part I Getting familiar with logistic regression Nuances of logistic regression-sample selection Nuances of logistic regression-segmentation Nuances of logistic impression-variable transformation-I, II & III Logistic Regression: Industry Applications - Part II Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time Logistic Regression - Industry Applications - Part II Commonly face challenges in implementation of logistic regression Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time |
Module 15: Advanced Machine Learning | Unsupervised Learning: Clustering Introduction to Clustering K Means Clustering Executing K Means in Python Hierarchical Clustering Business Problem Solving Introduction to Business Problem Solving Case Study Demonstrationchurn example Practice Questions Tree Models Introduction to Decision Trees Algorithms for Decision Tree Construction Hyperparameter Tuning in Decision Trees Ensembles and Random Forests Time Series Forecasting - I (BA) Introduction to Time Series Smoothing Techniques Time Series Forecasting - II (BA) Introduction to AR Models Building AR Models Model Selection Principles of Model Selection Model Building and Evaluation |
Module 16: AI- NLP, Neural Networks & Deep Learning | Introduction to NLP What is NLP? History and evolution of NLP Applications of NLP Challenges in NLP Overview of NLP pipeline Corpus and Corpus Linguistics NLTK Toolkit Introduction to the NLTK toolkit Preprocessing text data with NLTK Basic NLP tasks using NLTK (e.g., Part-ofSpeech Tagging, Named Entity Recognition) Stemming and Lemmatization WordNet in NLTK Chunking and Chinking Sentiment Analysis with NLTK Tokenization and Topic Modeling Tokenization in NLP Bag-of-Words representation Topic Modeling with LDA Latent Semantic Analysis Word Embeddings Sentiment Analysis Project: Introduction to Sentiment Analysis Sentiment Analysis using supervised and unsupervised methods Building a Sentiment Analysis model with Python Evaluating Sentiment Analysis models AI vs Deep Learning vs ML Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) Applications of AI, ML, and DL Differences between AI, ML and DL The Concept of Neural Networks Introduction to Neural Networks Types of Neural Networks Layers in Neural Networks Activation Functions Neural Networks - Feed-forward, Convolutional, Recurrent Feed-forward Neural Networks Convolutional Neural Networks Recurrent Neural Networks Applications of Neural Networks Deep Learning Project Building a Deep Learning model with Python Image Classification with Convolutional Neural Networks Natural Language Processing with Recurrent Neural Networks |
Data Science Projects and Assignments
Major Projects
Customer Lifetime Value Calculation: The project involves calculating the customer lifetime value using SQL to understand the revenue generated by a customer over their lifetime.
Customer Churn Prediction: This project involves building a predictive analytics model using SQL to identify customers who are likely to churn based on their behavior and transaction history.
Interactive Dashboard for E-Commerce Sales: The project involves creating an interactive dashboard using Tableau & SQL to analyze retail sales data, identify trends, and make data-driven decisions.
Customer Segmentation Dashboard: This project involves creating a customer segmentation dashboard using Tableau to identify customer groups based on demographics, behavior, and purchasing patterns.
Movie Recommendation System: The project involves building a movie recommendation system using Python and its libraries such as Pandas, NumPy, and Scikit-Learn. The recommendation system will suggest movies based on user preferences and ratings.
Sentiment Analysis on Twitter Data: This project involves analyzing Twitter data using Python and its libraries such as NLTK and TextBlob to perform sentiment analysis and understand the overall sentiment of a particular topic.
Visualizing COVID-19 Data: The project involves visualizing COVID-19 data using Python and its libraries such as Matplotlib, Seaborn, and Plotly to understand the impact of the pandemic on different countries and regions.
Visualizing Stock Market Data: This project involves visualizing stock market data using Python and its libraries such as Pandas, Matplotlib, and Bokeh to understand the trends and patterns in stock prices over time.
Airbnb Data Analysis: The project involves performing exploratory data analysis on Airbnb data to understand the patterns in the pricing, availability, and quality of Airbnb listings in different cities.
Bike Sharing Data Analysis: This project involves performing exploratory data analysis on bike sharing data to understand the usage patterns of bikes in different cities and identify factors that influence bike usage.
House Price Prediction: The project involves building a regression model using Python and its libraries such as Scikit-Learn to predict the prices of houses based on their features such as location, size, and amenities.
Credit Risk Prediction: This project involves building a classification model using Python and its libraries such as Scikit-Learn to predict the credit risk of loan applicants based on their credit history and other factors.
Time Series Forecasting for Sales Data: The project involves building a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and identify factors that influence sales.
Sentiment Analysis on Product Reviews: The project involves building a sentiment analysis model using NLP techniques such as Word Embeddings and Recurrent Neural Networks (RNN) to analyze product reviews and understand the sentiment of customers towards different products.
Segmentation using Deep Learning: This project involves using advanced deep learning techniques such as Fully Convolutional Networks (FCN) and U-Net to perform image segmentation and identify objects in images.
Machine Translation using Transformers: This project involves building a machine translation model using advanced deep learning techniques such as Transformers to translate text from one language to another.
Case Studies & Assignments:
- Healthcare Customer Feedback Analysis
- Management Teams Dashboard Creation
- Retail Store Sales Report Analysis
- Software Firm Employee Data Analysis
- Industrial Data Sets Classification & Comparison
- Charts & Graphs: Frequency Distribution Table, Pie-charts, Pareto Diagram, Histogram, Scatter Plots, Heatmaps, Bar Graphs and many More.
- Patient Disease Probability Analysis Using Healthcare Data
- Car Model & Menu Item Data Combination & Configuration Probability Analysis
- Manufacturing & Product Launch Data Classification & Analysis
- Customer Complaint Resolution Analysis Using Normal Distribution Curves
- Product Rating & Employee Productivity Analysis Usign Z-Score
- New Product Need Analysis Using Hypothesis Testing
- Inventory Management & Customer Segmentation Systems Using Vlook up & Hlook Lookup
- Sales Trend & Staffing Plan Creation using Pivot Tables
- Pricing Strategy & Financial Model Creation Using What if Analysis
- Sales & Operations Dashboard Creation
- Healthcare & Construction Reporting Automation Using Macros
- Retail Sales Opportunity Analysis Using PIVOT Charts
- Accounting Firm Statement Analysis Using Sparklines & Waterfall Chart
- FMCG Marketing Spend to Sales Revenue Impact Analysis Using Regression Analysis
- Transportation Pricing Model Using Regression Analysis
Data Science Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job
Data science course fees
Master Program in Data Science Fees: 30k-90k
Contact Information
Digiperform Corporate Office: C-30, Third Floor, Sector-2, Near Sec-15 Metro Station, Noida, Uttar Pradesh 201301, India
Email: contact@digiperform.com
Phone: +91-8527-611-500
Website: www.digiperform.com
2. Edureka Learning Center
Edureka stands out as one of India’s leading online learning platforms, offering comprehensive IT certification training in areas such as Data Science and analytics, Web Development, and Cloud Computing. Renowned for its industry-recognized certifications, Edureka is headquartered in Bangalore.
The platform is unwaveringly dedicated to its students, employing various strategies to ensure commitment. From regular reminders to relentless support from experienced instructor led and 24/7 online assistance, Edureka leaves no room for excuses when it comes to completing their courses.
Course Curriculum:
- Python for Data Science
- Probability and Statistics
- Supervised Machine Learning
- Natural Language Processing
- Unsupervised Machine Learning
- Model Evaluation and Optimization
- Deep Learning Using TensorFlow
- Data Visualization Using Tableau
Course Highlights:
- Talent demanded by big industries of all sectors
- Lucrative pay-scale
- Wide career scope
- Recommender Engine
- Best in the world hybrid training program
- Government Scholarships available
- Faculty-led Blended Training
- Practical Learning
- Placement Assistance
| Name | Data Scientist Course Master Program |
| Course Duration | 250+ Hours |
| Website | www.edureka.co |
| Address: | 11, Arul Malar Convent Rd, Managiri, KK Nagar, Madurai, Tamil Nadu 625020 Mob: 082486 75727 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Jabalpur Since: | 2011 |
| Fees | INR 89,999 |
| Branches in India: | Bangalore, Nagpur, Delhi, Gurugram, Hyderabad, Kolkata, Pune, Noida, Chennai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
3. Livewire
LIVEWIRE – A Division of CADD Centre Training Services Pvt Ltd, is an approved Skill Development Partner of the National Skill Development Corporation (NSDC). LIVEWIRE promotes a unique combination of technologies that are specific to IT, Computer science, Electronics, and electrical departments.
They deal with Emerging technologies like Data Science, Machine Learning , IoT, Artificial Intelligence, Blockchain, full-stack developers, Cyber Security, Automotive Embedded systems, and many more. LIVEWIRE is present in more than 100 locations in India and over 7 countries. LIVEWIRE credential includes its affiliation like NSDC, STED Council, MSME, ISO (9001:2015 & 29990:2010), NIELIT, AXELOS, Oracle, CompTIA, Blockchain Council, etc.
LIVEWIRE works closely with more than 1000 colleges in India as a technology partner in equipping students beyond their academics and also with a few corporate clients for their training requirements. The curricula are prepared with inputs from product companies and industry experts. The training is offered by instructor led who are trained by Product developers and industry experts. Their training center boasts high-end hardware and sophisticated technology labs that are modeled on real-world R&D units of industries.
Course Curriculum:
- Data Science
- Recommender Engine
- Data Predictive Analytics using Power BI
- Data Science & Data Engineering using Python
Course Highlights:
- Program Duration-60 Hours
- Accredited by NSDC
- Instructor led
- Flexible Learning In-center and online
- Practical Learning Hands-on experience
- Learn from Industry Experts
| Name | Data Science Certification Course |
| Course Duration | 60 Hrs. |
| Website | www.livewiresimmakkal.in |
| Address: | No.41, 1st Floor, N Veli St, near EB Office, Simmakkal, Madurai, Tamil Nadu 625001 Mob: 082708 27053 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Madurai Since: | 2013 |
| Fees | INR 40,000 |
| Branches in India: | Indore, Jabalpur, Madurai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
4. IPCS Global
IPCS Global Is A Leading Digital Marketing and Information Technology Training Institute, Offering Digital Marketing Courses And IT Training Programs, Designed To Help You Master The Essential Disciplines In Search Engine Optimization (SEO), Social Media(SMM), Pay-Per-Click (PPC), Conversion Optimization, Web Analytics, Content Marketing, Email And Mobile Marketing.
The IT programs are designed and Developed by experts in the industry, programs Like Website design and Development, Java and Dot Net, Android Application Development, Python Matlab, and VLSI training are industry-endorsed. IPCS Global Is The Brainchild Of Ingenious Power and Control Systems Pvt Ltd (IPCS), An ISO Certified Company.
Course Curriculum:
- Data Science Overview
- Data Analytics Overview
- Statistical Analysis and Business Applications
- Python: Environment Setup and Essentials
- Mathematical Computing with Python (NumPy)
- Scientific Computing with Python (Scipy)
- Data Manipulation with Python (Pandas)
- Data Visualization in Python
- Data Science with Python Web Scraping
| Name | Python & Data Science Training |
| Course Duration | 150 Hrs. |
| Website | www.ipcsglobal.com |
| Address: | G0, Raj Sesh Mahal Apartment, 34 Bharathi Ula Road Thamarai Thotti Stop, opposite to Regional Passport Office, K.Pudur, Tamil Nadu 625002 Mob: 089409 29313 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Madurai Since: | 2013 |
| Fees | INR 55,000 |
| Branches in India: | Karnataka, Bangalore, Kolkata, Kerala |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
5. Elysium Academy
Elysium Academy Private Limited was established in 2012 by Elysium Group of Companies. Elysium Academy Pvt Ltd is an International Certification Courses Training Center in Madurai. They provide Assured Placement Oriented Python, Networking, Linux, and Java Professional Training as well as Internship opportunities with leading Companies.
Their academy offers PHP courses, C C++, Software Testing, VMware, Digital Marketing, Hardware Certification Training courses, and Certified Hacking Defender in Madurai. Particularly Authorized Training Partners of CISCO, MICROSOFT, CompTIA, and more Leading Technical Companies.
Specifically, they conduct Employee Training Programs in Leading MNC IT Companies for the latest technical updates. Notably, they offer on-demand IT Skills to Industries and Education Institutions to enhance work and academic performance. On the other hand, they are one of the best Online Professional Courses Training providers in India.
Course Curriculum:
- Statistics Essentials for Analytics
- Data Science Overview
- Data Analytics Overview
- Statistical Analysis and Business Applications
- Data Visualization in Python using matplotlib
- Python: Environment Setup and Essentials
- Mathematical Computing with Python (NumPy)
- Scientific computing with Python (Scipy)
- Data Science with Python Web Scraping
- Data Manipulation with Python (Pandas)
- Machine Learning with Python (Scikit–Learn)
- Natural Language Processing with Scikit-Learn
- Python integration with Hadoop, MapReduce, and Spark
Course Highlights:
- Experienced faculties
- Personal mentorship
- Reasonable fees
- Real life projects
- Special weekend batches
- Intensive training
- Doubt clearance sessions
| Name | Data Science Course |
| Course Duration | 3 Months |
| Website | www.elysiumacademy.org |
| Address: | 227, II nd Floor, B Block, ‘Elysium Campus, Church Rd, Anna Nagar, Madurai, Tamil Nadu 625020 Mob: 096777 81155 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Madurai Since: | 2012 |
| Fees | INR 40,000 |
| Branches in India: | Chennai, Coimbatore, Madurai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
6. Networkz Systems
Networkz Systems- a division of Trinetz Technology private limited is an IT/IT skill training company headquartered in kerala. Networkz systems is an approved training and testing center of National Skill India Mission.
They promote courses from emerging technologies like Network Engineering, Machine learning, Data science, Artificial intelligence, full stack development, Cyber security, Ethical hacking, and much more . They have the right team, tool, and technology to handle any kind of advanced IT training.
Course Curriculum:
- The course provides the entire toolbox you need to become a data scientist
- Impress interviewers by showing an understanding of the data science field
- Improve Machine Learning Artificial Intelligence algorithms by studying underfitting, overfitting, training, validation, n-fold cross-validation, testing, and how hyperparameters could improve performance
- Warm up your fingers as you will be eager to apply everything you have learned here to more and more real life projects
- Apply your skills to real-life business cases
- Carry out cluster and factor analysis
| Name | Data Science |
| Course Duration | 2 Months |
| Website | www.networkzsystemsmdu.com |
| Address: | 4/603, Sadasiva Nagar Rd, Sourashtrapuram, Mandure, Vandiyur, Madurai, Tamil Nadu 625020 Mob: 097512 89237 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Madurai Since: | 2017 |
| Fees | INR 35,000 |
| Branches in India: | Madurai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
7. FITA Academy
In the dynamic field of Information Technology, staying competitive demands more than just theoretical understanding; it necessitates practical skills aligned with industry needs. This is where Focus IT Academy (FITA) in Chennai excels, providing an engaging learning environment for both aspiring and experienced IT professionals.
FITA goes beyond conventional teaching methods, prioritizing interactive coaching that seamlessly connects theoretical knowledge to practical applications. Boasting a faculty of certified and seasoned experts, FITA offers a diverse range of courses catering to the requirements of both students and working professionals. Whether you’re pursuing certifications, aiming for career advancement, or preparing for job opportunities, FITA provides customized programs to align with your goals.
Course Curriculum:
- Introduction to Data Science
- Data Science with Python: Introduction to Python
- List, Ranges, and tuples in Python
- Python Dictionaries and Sets
- Input and Output in Python
- Python Functions
- Python Exceptions Handling
- Python Regular Expressions
- Useful additions
- Data Manipulation using Python
- Understanding Machine Learning Models & Algorithms
- Understanding Hypothesis Testing
- Introduction to R Programming
- Working with External Data
Course Highlights:
- Real-Time Experts as Trainers
- LIVE Project
- Certification
- Affordable Fees
- Flexibility
- Placement Support
| Name | Data Science Course |
| Course Duration | 2 Months |
| Website | www.fita.in |
| Address: | No.2A, Sivanandha salai, Cross Road, Arappalayam, Madurai, Tamil Nadu 625016 Mob: 097900 94102 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Madurai Since: | 2012 |
| Fees | INR 30,000 |
| Branches in India: | Chennai, Bangalore, Coimbatore, Madurai, Pondicherry |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online & Offline |
Who should learn Data Science in Madurai?
Anyone in Madurai with a curiosity for understanding and working with data should learn Data Science. Whether you’re a student, a professional in any field, or someone interested in new opportunities, Data Science can benefit you. It helps students prepare for the future job market, professionals enhance their skills, and enthusiasts explore the exciting world of data.
As data becomes more crucial in various industries, learning Data Science in Madurai is a smart move for those eager to gain valuable insights and stay relevant in an increasingly data-driven world.
Why should you study Data Science?
Embarking on the journey of studying Data Science is akin to acquiring a superpower for deciphering the world through information. It extends beyond the realm of computer experts, catering to anyone intrigued by unraveling the mysteries within data. Envision the ability to foresee trends, make informed decisions, and address real-world challenges – that’s the enchantment of Data Science! In our digital era saturated with information, learning Data Science is comparable to possessing a key unlocking gate to knowledge.
Moreover, it unveils exciting job prospects across diverse sectors, ranging from healthcare to business. Whether you’re a student shaping your future or an individual aiming to enhance skills, delving into Data Science is a strategic move, endowing you with the confidence and creativity to navigate the data-driven world.
Career Scope in Data Science in Madurai
The career scope for Data Science in Madurai is burgeoning, reflecting the city’s embrace of technological advancements. As businesses in Madurai increasingly recognize the pivotal role of data-driven decision-making, the demand for skilled data scientists has surged. From healthcare to manufacturing, and education to finance, organizations across various sectors in Madurai are integrating data science to extract valuable insights. Professionals equipped with data science skills find ample opportunities in roles such as data analysts, machine learning engineers, and business intelligence specialists.
Moreover, the city’s educational institutions are adapting by offering specialized courses in data science, preparing a workforce attuned to the evolving needs of the industry. With a proactive approach towards technology and a growing job market, Madurai presents a promising landscape for individuals aspiring to build a rewarding career in the dynamic field of Data Science.
Mastering Data Science Tools
Digiperform’s ‘Mastering Data Science Tools’ course provides a comprehensive exploration of the realm of data science. This program offers in-depth training in Python, R programming, and advanced machine learning techniques, empowering participants to extract valuable insights from data. Through hands-on experience with crucial industry tools, students learn to tackle real-world data challenges effectively. The practical curriculum enhances proficiency and prepares individuals to pursue diverse career opportunities in the continuously evolving field of data science.
Data Science Salaries for Freshers in Madurai
For freshers diving into the world of data science in Madurai, the salary landscape is pretty promising. Companies in Madurai are recognizing the importance of young, talented minds in the field, and they’re willing to reward that. While salaries can vary, especially depending on the company and your skills, a fresh graduate in data science training in Madurai can expect a competitive starting salary.
The city’s tech industry is thriving, and there’s a high demand for skilled individuals who can handle data. So, if you’re excited about crunching numbers and making sense of information, not only will you find an engaging career in Madurai, but you’ll likely be starting off with a decent paycheck that acknowledges the value of your skills in the ever-growing field of data science.
Current Job Openings in Data Science in Madurai
As Madurai evolves into a hub for technological innovation, the job market for Data Science enthusiasts is expanding. Current job openings in Data Science Training in Madurai span diverse industries, with opportunities in healthcare, finance, e-commerce, and more.
Positions such as data analysts, machine learning artificial intelligence engineers, and data scientists are in high demand as businesses recognize the transformative potential of data-driven insights. Educational institutions and tech companies in Madurai actively seek professionals proficient in data science techniques, offering roles that involve analyzing large datasets, implementing machine learning algorithms, and contributing to strategic decision-making.
The city’s growing emphasis on technology and data-driven solutions underscores the availability of rewarding career paths for individuals skilled in Data Science, making Madurai an exciting destination for those seeking employment opportunities in this dynamic and rapidly evolving field. You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
What is the duration of the Data Science course?
The duration of Data Science courses can vary. Typically, they range from a few months to a year, depending on the level and depth of the program.
Are there any prerequisites for enrolling in a Data Science course in Madurai?
Prerequisites may vary among courses, but a background in mathematics, statistics, or computer science is often beneficial. Some courses may also require basic programming skills.
What topics are covered in a typical Data Science course?
Data Science courses cover a broad spectrum, including statistical analysis, machine learning, data visualization, and data interpretation. They often involve hands-on projects to apply theoretical knowledge.
Are there online options for Data Science courses in Madurai?
Yes, many educational institutions in Madurai offer online Data Science courses, providing flexibility for learners who may not attend in-person classes.
How do Data Science courses help with career advancement?
Data Science courses equip individuals with the skills needed for roles such as data analyst, machine learning engineer, or business intelligence specialist, enhancing career prospects in a data-driven job market.
