Data Science Training in Chandigarh Data Science Training in Chandigarh

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Data Science Course in Chandigarh Mohali - Transform Your Career with ThinkNEXT

ThinkNEXT Technologies Private Limited is a premier data science training institute in Chandigarh Mohali. Our Comprehensive data science course in Chandigarh Mohali is designed in such a way that we will make you industry-ready in the rapidly evolving data science field. ThinkNEXT offers services from comprehensive data science training to 100% assured placement as part of the Data Science training program

ThinkNEXT offers expert training and mentorship last from 12+ years and recognized as a top data science training institute in Chandigarh Mohali. Over the years, with its hardwork, dedication and commitment, ThinkNEXT has emerged as the best data science institute in Chandigarh Mohali among students, job-seekers and professionals. Whether you are beginner or an experienced professional, ThinkNEXT data science course is tailored to meet your needs and help you achieve your career goals.

ThinkNEXT Data Science training in Chandigarh Mohali offers great opportunity for candidates who want to become data scientist by analyzing and interpreting complex data sets for better decision making of organizations.

ThinkNEXT Data Science training combines mathematics, statistics, programming, and domain expertise to extract meaningful insights from data. It involves various processes and techniques to analyze and interpret complex data sets, eventually helping organizations make informed decisions.

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8 Times National Award Winner Company

Indian Iconic Award from Amisha Patel
Iconic Business Summit Award from Jaya Prada
National Icon Award from Suniel Shetty
Asia's Quality Entreprenuarship Award from Karisma Kapoor
National Gratitude Award from Sonali Bendre
Business Excellence Award from M Satish Reddy
Business Leaders Award from Surendra Pal
Nations Pride Award from Faggan Singh Kulaste
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Why Data Science Course in Chandigarh Mohali from ThinkNEXT

  • Life-Time Validity Learning and Placement Card
  • Data Science Training from top industry experts having more than 5 years of experience
  • Data Science demo class is also offered by ThinkNEXT
  • Data Science Training and Project Certificate By ThinkNEXT:
  • Data Science Experience Certificate by ThinkNEXT
  • 100% Practical, Personalized training with Live Project
  • Multiple Job Interviews + 100% Job Assistance
  • Opportunity to work on live projects
  • One-to-one Project and Project will be made Live and to make it Live, ThinkNEXT will provide sub-domain and hosting worth Rs. 3000/- absolutely free to each student for web based Project.
  • Free Study Material
  • Highest level of Infratsructure in Chandigarh with 200+ computers and 16+ Labs

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Data Science Course Syllabus

Module 1: Python

Introduction to Python:

  • Understanding Python and its applications in Data Science.
  • Setting up the Python environment (Anaconda, Jupyter Notebooks).
  • Python basics: syntax, variables, data types, and operators.
  • Control structures: conditionals and loops.

Data Structures and Functions:

  • Lists, tuples, dictionaries, and sets.
  • List comprehensions.
  • Functions: defining and calling functions, lambda functions.
  • Modules and packages in Python.

Advanced Python Concepts

  • File handling (reading and writing files).
  • Error and exception handling.
  • Object-Oriented Programming (OOP) in Python.

Module 2: Programming with SQL

Welcome to MySQL

  • Introduction to MySQL
  • Basic MySQL Syntax
  • Clauses in MySQL
  • Operators in MySQL
  • Dealing with Null Values in MySQL
Advanced SQL Queries and Functions in MySQL
  • Functions in MySQL
  • Case Operator in MySQL
  • Group By in MySQL
  • Having Clause in MySQL
  • Joins in MySQL
  • Subqueries in MySQL
  • Union, Intersect, Except in MySQL
Practical Applications
  • Writing Python scripts for data analysis.
  • Exploratory Data Analysis (EDA) with Pandas.
  • Data visualization with Matplotlib and Seaborn.

    • Module 3: Data Analysis with Statistics and Visualization

    Descriptive Statistics

    • Measures of central tendency (mean, median, mode).
    • Measures of dispersion (variance, standard deviation, range).
    • Data distributions and histograms.

    Inferential Statistics

    • Sampling and sampling distributions.
    • Hypothesis testing (t-tests, chi-square tests).
    • Confidence intervals.
    • ANOVA (Analysis of Variance).

    Data Manipulation and Analysis:

    NumPy: Numerical Computing
    • Basics of NumPy
      • What is NumPy?
      • Creating and initializing arrays.
      • NumPy data types.
    • Array Operations
        • Indexing, slicing, and iterating.
        • Mathematical operations on arrays.
        • Broadcasting in arrays.
    • Statistical and Mathematical Functions
        • Mean, median, standard deviation.
        • Summation, product, and trigonometric functions.
    • Linear Algebra with NumPy
        • Matrix creation and operations.
        • Dot product, transpose, and determinants.
    • Advanced Topics
        • Reshaping and flattening arrays.
        • Handling missing data.
        • Loading and saving data with NumPy.

    Pandas

    • Introduction to Pandas
      • Series and DataFrame objects.
      • Creating Series and DataFrames.
    • Data Manipulation with Pandas
        • Indexing and selecting data.
        • Adding, removing, and renaming columns.
        • Filtering and conditional selection.
    • Data Cleaning
        • Handling missing data (isnull, dropna, fillna).
        • Handling duplicates.
    • Data Transformation
        • Merging, joining, and concatenation.
        • GroupBy operations: aggregation, transformation.
        • Pivot tables and cross-tabulation.
    • Data Input and Output
        • Reading and writing CSV, Excel, JSON, and SQL files.
    • Exploratory Data Analysis (EDA)
        • Descriptive statistics.
        • Summarizing and visualizing data distributions.
    • Time Series Analysis
        • Working with date and time data.
        • Resampling and time-based indexing.
      Data Visualization
      • Introduction to data visualization principles.
      • Creating plots: line, bar, scatter, histogram, box plots.
      • Customizing plots and visualizations with Matplotlib and Seaborn.
      • Interactive visualizations with Plotly.
    Data Wrangling
      • Data cleaning and preprocessing.
      • Handling missing data and outliers.
      • Data transformation and normalization.
    Case Studies and Projects
      • Performing EDA on real-world datasets.
      • Visualizing complex datasets.
      • Statistical analysis of business data.

    Module 4: Data Visualization using Power BI and Tableau

    Introduction to Data Visualization Tools

    • Overview of Business Intelligence (BI) tools.
    • Importance of data visualization in decision making.
    Power BI:
    • Getting Started with Power BI:
      • Introduction to Power BI and its components.
      • Setting up Power BI Desktop.
      • Understanding Power BI Service and Mobile App.
    • Connecting to Data Sources
      • Importing data from various sources (Excel, CSV, databases, web).
      • Data transformation and cleaning with Power Query.
    • Data Modeling
      • Importing data from various sources (Excel, CSV, databases, web).
      • Data transformation and cleaning with Power Query.
    • Visualization Techniques
      • Creating and customizing visualizations (charts, graphs, maps).
      • Using slicers and filters.
      • Designing interactive dashboards.
      • Data transformation and cleaning with Power Query.
    • Sharing and Collaboration
      • Publishing reports to Power BI Service.
      • Creating and managing workspaces.
      • Sharing dashboards and reports with stakeholders.
    Tableau
    • Getting Started with Tableau
      • Introduction to Tableau and its interface.
      • Connecting to data sources.
      • Understanding Tableau Prep for data preparation.
    • Building Visualizations
      • Creating basic visualizations (bar, line, pie charts).
      • Advanced visualizations (heat maps, tree maps, scatter plots).
      • Using Tableau's Show Me feature.
    • Data Analysis
      • Filtering and sorting data.
      • Creating calculated fields.
      • Using parameters and sets.
    • Dashboards and Stories
      • Designing interactive dashboards.
      • Creating stories to present data narratives.
      • Dashboard actions and interactivity.
    • Sharing and Collaboration
      • Publishing workbooks to Tableau Server and Tableau Online.
      • Managing Tableau projects and permissions.
      • Embedding Tableau visualizations in web pages.
    Case Studies and Projects:
        • Creating interactive dashboards using Power BI and Tableau.
        • Data visualization projects based on real-world scenarios.
        • Comparison and integration of Power BI and Tableau in business environments.

    Module 5: Machine Learning

    Introduction to Machine Learning:

    • Basics of databases and SQL
    • Setting up and connecting to MySQL databases

    Supervised Learning Algorithms

    • Linear regression and multiple regression.
    • Logistic regression.
    • Decision trees and random forests.
    • Support Vector Machines (SVM).
    • Model evaluation metrics: accuracy, precision, recall, F1 score, ROC-AUC curve.

    Unsupervised Learning Algorithms

    • Clustering (K-means, hierarchical clustering).
    • Principal Component Analysis (PCA).
    • Association rule learning (Apriori, Eclat).

    Advanced Topics in Machine Learning

    • Ensemble methods: bagging, boosting (AdaBoost, Gradient Boosting, XGBoost).
    • Model tuning and hyperparameter optimization.
    • Cross-validation techniques.
    • Feature engineering and selection.

    Case Studies and Projects

    • Building and evaluating machine learning models.
    • Practical machine learning projects using real-world datasets.

    Module 6: Deep Learning, AI, Neural Network

    Introduction to Deep Learning

    • Difference between machine learning and deep learning.
    • Applications of deep learning.

    Neural Networks Basics

    • Introduction to neural networks.
    • Architecture of neural networks (neurons, layers, activation functions).
    • Forward and backward propagation.

    Deep Learning Frameworks

    • Introduction to TensorFlow and Keras.
    • Setting up the environment.
    • Building and training neural networks using Keras.

    Advanced Neural Networks

    • Convolutional Neural Networks (CNN) for image processing.
    • Recurrent Neural Networks (RNN) for sequence data.
    • Long Short-Term Memory (LSTM) networks.
    • Transfer learning.
    • Generative Adversarial Networks (GANs).

    Artificial Intelligence and Applications

    • Introduction to AI and its applications.
    • Natural Language Processing (NLP): text preprocessing, sentiment analysis, and text classification.
    • Reinforcement learning: basic concepts and algorithms.

    Case Studies and Projects

    • Developing deep learning models for image classification.
    • Time series analysis and forecasting.
    • NLP projects: sentiment analysis and text generation.

    Module 7: Capstone Project

    Project Planning and Design

    • Identifying a problem statement.
    • Gathering and preparing the dataset.
    • Defining the project scope and timeline.

    Project Implementation

    • Applying data science techniques and machine learning models learned during the course.
    • Data cleaning, preprocessing, and exploration.
    • Building, training, and evaluating models.
    • Fine-tuning and optimizing models.
    • Creating comprehensive data visualizations.

    Project Presentation

    • Preparing project documentation.
    • Creating visualizations and reports.
    • Presenting the final project to peers and instructors.

    Module 8: Career Preparation

    Building a Portfolio

    • Compiling projects and case studies.
    • Creating an online portfolio.

    Interview Preparation:

    • Crafting a compelling resume.
    • Optimizing LinkedIn profile for data science roles.

    Interview Preparation

    • Preparing for technical interviews (coding challenges, algorithm questions).
    • Behavioral interview preparation.
    • Mock interviews and feedback sessions.

    Module 9: Working with PHP Frameworks

    RESTful Web Services

    • Introduction to RESTful APIs: principles and practices
    • Creating RESTful services using PHP
    • Consuming third-party APIs with PHP
    • Handling JSON data: encoding and decoding

    Module 10: Industry Best Practice

    Code Optimization

    • Overview of Node.js and its features.
    • Writing efficient and maintainable code
    • Understanding and using design patterns
    • Performance optimization techniques for PHP applications

    Real-world Applications

    • Case studies of popular PHP applications
    • Understanding the architecture of large-scale PHP projects

    Soft Skills for Developers

    • Communication and teamwork in a development environment
    • Agile methodologies and working in sprints

    Module 11: Final Project and Deployment

    Capstone Project

    • Building a complete web application from scratch
    • Project planning, development, testing, and deployment

    Version Control with Git

    • Consuming third-party APIs with PHP
    • Handling JSON data: encoding and decoding

    Deployment Techniques

    • Deploying PHP applications to a web server
    • Configuring servers for optimal performance
    • Understanding the basics of cloud hosting (AWS, Heroku)

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    Top reasons to join ThinkNEXT for Data Science Course in Chandigarh Mohali

    ThinkNEXT offers Industrial Training/Internship for Engineering/Polytechnic (All Branches), Management, Job seekers, Working Professionals and other students

    • Data Science Training from 8 Times National Level Award Winner Company:
    • Data ScienceTraining from Indian Iconic 2024 Award for "Best Web Development and Digital Marketing Company" from Bollywood Actress Amisha Patel
    • Data Science Training from Business Excellence Award 2023 for "Best Digital Marketing and Industrial Training Company of the Year" from M. Satish
    • ThinkNEXT Technologies Private Limited has been providing quality training and placement services since 2011. With over a decade of experience, we ensure our students receive top quality training and excellent job opportunities.
    • ThinkNEXT bagged Iconic Business Summit Award 2021 for "Most Trusted Digital Marketing and Industrial Training Company of the Year" from Bollywood Film Actress & Politician Jaya Prada and Miss Universe Romania Anca Verma at New Delhi
    • ThinkNEXT bagged Nation’s Business Pride Award 2021 from Shri Faggan Singh Kulaste (Union Minister of State for Steel) for Best Digital Marketing and Industrial Training Company
    • National Gratitude Award 2020 Winner for the Best Digital Marketing and Industrial Training Company
    • Asia’s Quality & Entrepreneurship Award 2019 Winner for Best Web Development and Industrial Training Company
    • Business Leaders Award 2019 Winner for Best Digital Marketing and Industrial Training Company
    • National Icon Award 2018 Winner Company for Best Web Development and Industrial Training Company
    • Apart from National Level Awards, ThinkNEXT also got many other awards/recognitions in the field of software development, industrial training and digital marketing services.
    • Data Science training in Chandigarh Mohali from Government Registered Company with Corporate Identity No. U72200PB2011PTC035677. ThinkNEXT is registered as a Pvt. Ltd. Company under the companies Act 1956 and approved by Ministry of Corporate Affairs (MCA), Govt. of India
    • ThinkNEXT offers Part-Time/Full-Time Job offer during training/internship so that students can earn while they learn.
    • Free Spoken English, Personality Development and Interview Preparation (HR+Technical) Classes so that students need not to struggle for jobs as a fresher
    • Data Science Course from ISO 9001:2015 Certified, Google Partner, Facebook Blueprint Certified, Microsoft Accredited and Hubspot Certified Company.
    • Authorized Pearson Testing Center for International Exams/Certifications.
    • Opportunity to get International Certifications from Microsoft, SAP, Apple, Adobe, Autodesk, EC-Council, IC3, W3, Unity, QuickBooks etc.
    • ThinkNEXT has its own LMS, Certificate Portal, Job Portal and Mobile App for better communication, access to study material and community support
    • Free online courses for class-room/offline students undergoing Industrial Training/Internship
    • Get Industrial Training/Internship in 3 modes: (1. Classroom training/Offline training 2. Instructor-led online Live training 3. Self-Paced Online Courses
    • Lifetime membership to ThinkNEXT VIP Facebook Group for Placements and VIP Telegram Group for Community Support
    • Guaranteed Job Interviews and 100% Placement Assistance
    • Online Certificate Verification Facility through QR Code. ThinkNEXT Certificates are globally accepted and recognized.
    • Training on Live-Projects
    • Affiliated to Indian Testing Board & ISTQB (International Software Testing Qualifications Board)
    • Industrial Training/Internship from 10+ Years old company
    • Customized Syllabus (You can add your own relevant topics) and Backup Classes (in case you miss some classes)
    • Free Subdomain and Web Hosting to host projects.
    • Numerous Tie-ups with data science related companies for Placements
    • Lifetime Validity Learning and Placement Assistance
    • Member of CII (Confederation of Indian Industry). Membership No. N5238P
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    Iconic Business Summit Award from Jaya Prada
    Asia's Quality Entreprenuarship Award from Karisma Kapoor
    National icon Award from Bollywood Film Star Sunil Shetty
    National Gratitude Award from Bollywood Actress Sonali Bendre
    A meet with Bollywood Film Actress Upasna Singh
    usiness Leaders Award from Film Actor Surendra Pal
    Nation's Business Pride Award from Faggan Singh Kulaste
    A meet with Chaudhary Udaybhan Singh (Minister of State in Govt. of UP)
    Award for best Industrial Training Company
    Award for best Industrial Training Company
    ThinkNEXT receives Award during Leadership Summit
    ThinkNEXT gets Award at Chitkara University for Excellence in Industrial Training
    ThinkNEXT gets Award for Excellence in Industrial Training
    Award from Ms. Apneet Riyait, Dupity Commissioner, Mansa
    ThinkNEXT gets Award for Excellence in Industrial Training
    ThinkNEXT Reception Image
    Data Science Course in Chandigarh Mohali
    Data Science Course in Chandigarh Mohali
    Data Science Course in Chandigarh Mohali
    Data Science Course in Chandigarh Mohali
    Data Science Course in Chandigarh Mohali
    Data Science Course in Chandigarh Mohali
    Data Science Course in Chandigarh Mohali
    Data Science Course in Chandigarh Mohali

    Frequently Asked Questions

    Q 1. What is the Data Science Course fee in Chandigarh Mohali?

    Ans. The data science course fees in Chandigarh are ₹20,000 to ₹50,000 and are accessible through various government schemes & scholarship programs offered by institutes in Chandigarh.

    Q 2. How do I join the ThinkNEXT Data Science Course in Chandigarh Mohali?

    Ans. To join the ThinkNEXT Data Science Course in Chandigarh, Mohali, you can contact at 7837401000, our counselor will guide you as per your requirements or you can visit ThinkNEXT at Mohali (Chandigarh)

    Q 3. What is the duration of the Data Science Course in Chandigarh Mohali at ThinkNEXT Technologies Private Limited?

    Ans. Duration of Data Science Course is 3 months to 6 months at ThinkNEXT Technologies Private Limited, and it varies with the level of skill and the course path chosen.

    Q 4. Why should I consider ThinkNEXT Technologies Private Limited as the best institute for data science in Chandigarh Mohali?

    Ans. ThinkNEXT is considered one of the best institutes for Data Science in Chandigarh because of its comprehensive curriculum, successful track record of placements, highly experienced faculty, etc.

    Q 5. What are the Career opportunities For Data Science Professionals?

    Ans. Data Scientists, data analysts, machine learning engineers, business intelligence analysts, and several other potential career paths are a few ways that Data Science professionals can work. Chandigarh's rapid advancement is now witnessing a high demand from job seekers for data science.

    Q 6. Do you provide placement after completing the Data Science Course in Chandigarh Mohali?

    Ans. Yes, ThinkNEXT provides 100% assured placement with top-notch tech companies, which ultimately helps students get good data science jobs in Chandigarh and Mohali.

    Q 7. Can I get a demo class before enrolling in the Data Science Course in Chandigarh Mohali?

    Ans. Yes, ThinkNEXT provides a demo class for incoming students so they can experience the teaching method and the course content before commitment.

    Q 8. Is there any scholarship available for the Data Science Course in Chandigarh Mohali?

    Ans. Yes, ThinkNEXT provides some scholarships and discounts. Along with this, data science courses in Chandigarh can also support you financially by offering fully funded programs.

    Q 9. Is the Data Science Course in Chandigarh Mohali suitable for beginners?

    Ans. Yes, this Data Science Course in Chandigarh Mohali can be followed by beginners and professionals alike. It begins with some basic concepts and then moves to advanced topics.

    Q 10. What is the minimum package after completing the data science course?

    Ans. The minimum package after completing this course is around ₹3 lakhs to ₹ five lakhs per year for freshers. Higher packages exist for experienced candidates.

    Q 11. Is data scientists a demand?

    Ans. Yes, there is a high demand for data scientists globally, and the requirement for data science professionals in Chandigarh has increased exponentially because of the increase of technology and analytics-intensive industries.

    Q 12. What is the eligibility for data science course in Chandigarh Mohali at ThinkNEXT Technologies Private Limited?

    Ans. Though the minimum qualification to be a data scientist is a bachelor's degree in a relevant field such as Computer Science, Statistics, or Mathematics, students from any other discipline can also take appropriate courses in the field from the best institutes for Data Science in Chandigarh.

    Q 13. I am not a programmer. Can I enroll in the data science certificate course?

    Ans. Yes, you can even join the data science courses even if you are a noncoder because most institutes have beginner-friendly courses that teach the basics of programming. In addition, some of them even offer free data science courses in Chandigarh for beginners.

    Q 14. Do you offer a job Placement after completing a data science course?

    Ans. Yes, ThinkNEXT institutes in Chandigarh and Mohali offer data science with job guarantee programs. Such course generally include placement, and students are placed in top companies after successful completion.

    Q 15. Is coding knowledge required for a Data Science course in Chandigarh?

    Although it is beneficial to know one's coding, one does not need to be aware of coding in the first place. Many institutes have courses that teach a student how to program during the course while offering data science courses in Chandigarh.

    Q 16. Can I do a data science course Online at ThinkNEXT?

    Ans. Yes, Thinknext also offers a Data Science Course Online. You can learn at home or anywhere with flexibility. ThinkNEXT institutes offer data science courses, which include live classes, recordings, and hands-on projects.

    Q 17. Can I directly become a data scientist?

    Ans. ThinkNEXT Technologies transforms an individual into a data scientist through their Data Science Course in Chandigarh and Mohali. It is useful for freshers and even professionals, and no experience is required in this field. The concepts concerning the basic idea of data analysis and machine learning are focused along with the practice and placement support guaranteeing to initiate one's career in the field.

    Q 18. What payment modes are accepted?

    Ans. ThinkNEXT Technologies provides several payment modes for this Data Science Course like cash Cash/Cheque/UPI

    Q 19. What is the future scope of data scientists?

    Ans. The future is bright in the data science sector. It is becoming significantly in demand across all industries, from healthcare to finance & technology. The higher confidence of businesses in data and the development of AI and machine learning can certainly point to the future shape of data scientists.

    Q 20. Is data science a stressful job?

    Ans. A career in data science may be stressful sometimes, especially when working with huge amounts of data or meeting very tight deadlines. At such times, good problem-solving ability along with time management would mean an extremely rewarding career with the perfect balance.

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