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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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Awards and Achievements

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.

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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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    Frequently Asked Questions

    Q 1. What is Data Science?

    Ans. Data science is the study of data to extract awareness for businesses. It is an interdisciplinary field that combines statistics, machine learning, programming, and domain knowledge to extract insights from structured and unstructured data. It involves data collection, processing, analysis, and visualization to support decision-making.

    Q 2. Why choose ThinkNEXT Technologies for a Data Science Course in Chandigarh Mohali?

    Ans. ThinkNEXT Technologies is a leading Data Science Institute in Chandigarh, offering expert trainers, hands-on projects, certification, and 100% placement assistance.

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

    Ans. The data science course duration varies from 3 to 6 months, depending on the module and learning pace.

    Q 4. What are the fees for a Data Science Course near Chandigarh Mohali?

    Ans. The cost of a Data Science course varies depending on factors such as the course level, duration, and the institute offering it. Different institutes provide a range of programs, from beginner to advanced levels, with varying curriculum depth and training methods, hands-on projects, and industry recognition also influence the overall pricing.

    Q 5. Is there a free Data Science Course in Chandigarh Mohali?

    Ans. No, but ThinkNEXT Technologies provides free demo classes, workshops, and internship opportunities in data science courses in Chandigarh Mohali.

    Q 6. Which institute is best for a Data Science Course in Chandigarh Mohali?

    Ans. ThinkNEXT Technologies Private Limited is the best institute for Data Science in Chandigarh Mohali, offering industry-oriented training and placement support.

    Q 7. Can I join a Data Science Course after 12th?

    Ans. Yes, students can join a data science course after the 12th, preferably from a science or commerce background with basic programming knowledge.

    Q 8. What is the eligibility for a Data Science Course?

    Ans. Anyone can enroll in a Data Science course, regardless of their academic background, as many institutes offer beginner-friendly programs. With dedication and the right learning resources, individuals from diverse fields can build a successful career in Data Science.

    Q 9. What is the syllabus for the Data Science Course after the 12th?

    Ans. The data science course syllabus includes Python, Statistics, Machine Learning, Data Visualization, and AI concepts.

    Q 10. What is Artificial Intelligence (AI)?

    Ans. Artificial Intelligence (AI) is a group of technologies that help machines do tasks that usually need human thinking. AI uses machine learning and other methods to copy how humans behave.

    Q 11. What are the different types of AI?

    Ans. Artificial Intelligence can be categorized into three types:

    • Narrow AI: Designed for a specific task (e.g., Siri or recommendation systems).
    • General AI: A type of AI that can perform any intellectual task a human can do (still theoretical).
    • Superintelligent AI: An advanced form of AI that surpasses human intelligence (also theoretical).

    Q 12. How is AI transforming industries?

    Ans. AI is revolutionizing industries such as healthcare, finance, manufacturing, and customer service by improving automation, personalizing services, detecting fraud, and providing data-driven insights.

    Q 13. What is Machine Learning (ML) in AI?

    Ans. Machine Learning is a subset of Artificial Intelligence (AI) that allows machines to learn from data and improve their performance over time without explicit programming. It includes supervised, unsupervised, and reinforcement learning.

    Q 14. What are some examples of AI applications in everyday life?

    Ans. AI is used in many areas such as:

    • Virtual assistants (e.g., Alexa, Google Assistant)
    • Personalized recommendations (e.g., Netflix, Amazon)
    • Autonomous vehicles (e.g., Tesla)
    • Image recognition (e.g., facial recognition in smartphones)

    Q 15. How does AI impact job markets?

    Ans. AI is expected to both displace certain jobs, especially those involving repetitive tasks, and create new job roles requiring advanced technical skills. Job sectors such as healthcare, engineering, and data science are seeing increased demand for AI expertise.

    Q 16. What is the role of AI in data security?

    Ans. AI is used to enhance cybersecurity by detecting anomalies, preventing fraud, and automating responses to security threats. Machine learning models can analyze large volumes of data to identify potential vulnerabilities.

    Q 17. How can AI benefit businesses?

    Ans. AI helps businesses improve efficiency, reduce costs, and make data-driven decisions. Applications include automating customer service, optimizing supply chains, improving marketing approaches, and predicting market trends.

    Q 18. What is the future of AI?

    Ans. AI is expected to continue advancing, with more integration into daily life, further automation of tasks, and improvements in AI ethics and regulation. The development of general AI remains a long-term goal, though it is still a theoretical concept.

    Q 19. Do you offer an Artificial Intelligence Course in Chandigarh Mohali?

    Ans. Yes, ThinkNEXT Technologies offers Artificial Intelligence Courses in Chandigarh Mohali, covering Machine Learning, Neural Networks, and Deep Learning.

    Q 20. How can I learn AI at ThinkNEXT Technologies?

    Ans. At ThinkNEXT, we provide a comprehensive pathway to mastering AI. Here's how you can get started:

    • Enroll in AI and Machine Learning Courses: Take advantage of our specialized courses designed to teach AI and machine learning from the ground up.
    • Learn Essential Programming Languages: Gain proficiency in programming languages like Python and R, which are fundamental to AI development.
    • Explore AI Frameworks and Libraries: Familiarize yourself with leading AI frameworks such as TensorFlow and PyTorch, commonly used in real-world AI applications.
    • Get Hands-on Experience: Join AI projects and competitions hosted by ThinkNEXT to sharpen your skills and gain practical experience.

    Q 21. What is covered in the Data Science and Artificial Intelligence Courses in India?

    Ans. The course includes Python, Machine Learning, AI, Big Data, and Cloud Computing.

    Q 22. Is there an offline Data Science Course in Chandigarh Mohali?

    Ans. Yes, ThinkNEXT Technologies provides offline Data Science Training in Chandigarh Mohali with hands-on lab sessions.

    Q 23. Where is the best Data Science Institute near me?

    Ans. ThinkNEXT Technologies is a reputed Data Science Training Institute in Chandigarh Mohali, offering quality education and placement support.

    Q 24. What jobs are available after a Data Science Course?

    Ans. Jobs include Data Scientist, Data Analyst, Machine Learning Engineer, and AI Specialist.

    Q 25. Is Data Science a good career option?

    Ans. Yes, Data Science is a high-paying, in-demand field with career growth in AI and analytics.

    Q 26. What is the salary of a Data Scientist in India?

    Ans. A fresher earns around ₹6-8 LPA, while experienced professionals earn ₹15-30 LPA.

    Q 27. Which companies hire Data Scientists in India?

    Ans. Top companies like Google, Microsoft, TCS, Infosys, Accenture, and Amazon hire data scientists.

    Q 28. Is Data Science still in demand in 2025?

    Ans. Yes, Data Science and AI will continue to be in high demand, with more industries adopting data-driven decision-making.

    Q 29. Is working in Data Science stressful?

    Ans. It depends on the role, but problem-solving and analytical thinking are key skills that help in managing work efficiently.

    Q 30. Who qualifies as a Data Scientist?

    Ans. A Data Scientist is a professional skilled in data analysis, machine learning, and statistical modeling.

    Q 31. What is another name for a Data Scientist?

    Ans. Other names include Data Analyst, Machine Learning Engineer, and AI Researcher.

    Q 32. Who should choose a Data Science career?

    Ans. Anyone interested in technology, mathematics, and problem-solving can choose Data Science as a career.

    Q 33. What is an example of a Data Science job?

    Ans. An example of a Data Science job is a Data Analyst, who collects, processes, and analyzes data to help businesses make informed decisions. Other examples include Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst.

    Q 34. Which programming language is used in Data Science?

    Ans. The most popular languages are Python, SQL, and Java.

    Q 35. What are the skills required for a Data Scientist?

    Ans. Required skills include Python, SQL, Machine Learning, Statistics, and Big Data handling.

    Q 36. Which type of Data Science is best?

    Ans. The best fields are AI, Big Data Analytics, NLP, and Deep Learning.

    Q 37. Does ThinkNEXT offer a Data Science Certification?

    Ans. Yes, ThinkNEXT Technologies provides industry-recognized certification after course completion.

    Q 38. Do you offer Data Science internships in Chandigarh Mohali?

    Ans. Yes, ThinkNEXT Technologies offers internships with live projects and hands-on training in Chandigarh Mohali.

    Q 39. Is placement assistance available for Data Science students?

    Ans. Yes, ThinkNEXT Technologies Private Limited provides 100% placement assistance with top companies.

    Q 40. Do you offer weekend Data Science classes?

    Ans. Yes, we offer weekend and online Data Science classes for working professionals.

    Q 41. Is the Data Science Course available online?

    Ans. Yes, ThinkNEXT Technologies offers both online and offline data science training in Chandigarh Mohali.

    Q 42. How can I enroll in the Data Science Course?

    Ans. You can call us at +91-7837401000 or visit our website to register.

    Q 43. What is the monthly income of a Data Scientist in Chandigarh Mohali, India?

    Ans. The average monthly salary of a Data Scientist in Chandigarh, Mohali, India is ₹50,000 to ₹2,50,000.

    Q 44. How do I join the ThinkNEXT Technologies Data Science Course in Chandigarh Mohali?

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

    Q 45. Can I get a demo class before enrolling in the Data Science Course in Chandigarh Mohali?

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

    Q 46. Is there any scholarship available for the Data Science Course in Chandigarh Mohali?

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

    Q 47. 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 48. I am not a programmer. Can I enroll in the data science certificate course in Chandigarh Mohali?

    Ans. Yes, you can even join the data science courses even if you are a non-coder 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 49. Is coding knowledge required for a Data Science course in Chandigarh Mohali?

    Ans. Yes, coding knowledge is typically required for a Data Science course in Chandigarh Mohali. Most courses expect students to have a basic understanding of programming languages such as Python or R, as these are widely used for data analysis, machine learning, and data visualization. Some courses may offer introductory modules for beginners, but having coding skills can significantly enhance your learning experience.

    Q 50. 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 on along with practice and placement support guaranteeing to initiate one's career in the field.

    Q 51. What payment methods does ThinkNEXT Technologies accept for the Data Science course in Chandigarh Mohali?

    Ans. ThinkNEXT Technologies accepts various payment methods for the Data Science course in Chandigarh Mohali, including online payments through credit/debit cards, net banking, and UPI. They may also offer options for offline payments like cash or cheque, depending on the preferences of the student. It's best to contact the institute directly for specific payment details.

    Q 52. What is the future scope of data scientists?

    Ans. The future of the data science sector looks promising, with growing demand across industries like healthcare, finance, and technology. As businesses gain more confidence in data and advancements in AI and machine learning continue, the role of data scientists is expected to evolve and expand.

    Q 53. What are the latest AI technologies launched in 2025?

    Ans. Artificial Intelligence (AI) continues to advance rapidly, with several notable developments in 2025:

    • Google's Gemini 2.0: Google has introduced its most advanced AI model to date, integrated across various Google products for an improved user experience.
    • Apple Intelligence: Apple launched a suite of AI tools available on iOS 18, iPadOS 18, and macOS Sequoia.
    • DeepSeek's AI Models: Chinese AI firm DeepSeek has developed AI models R1 and V3, known for their high performance and cost-effectiveness.

    Q 54. How can I contact ThinkNEXT Technologies for a data science course in Chandigarh Mohali?

    Ans. You can reach ThinkNEXT Technologies by calling 7837401000 or by visiting their office at S.C.F. 113, Phase 11, Sector-65, Mohali (Chandigarh).

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