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Data Science Course in Salem | Uniq Jobs

Data Science Course in Salem | Uniq Jobs

Become an industry-ready Data Scientist with UNIQ Technologies. This course covers Python, Statistics, Machine Learning, Deep Learning, Data Visualization, and Real-Time Projects designed to make you job-ready. Ideal for freshers, IT/non-IT graduates, and professionals looking to transition into Data Science. — Available in Salem

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4.8/5 · 3k+ learners
Placement support
Beginner friendly

Job Opportunities After Data Science Course

Data Science is one of the fastest-growing careers globally. After completing this course, you can apply for roles such as:

Data Scientist
Machine Learning Engineer
AI Engineer
Data Analyst
Business Intelligence Analyst
Statistical Modeler
Research Analyst

Top Hiring Companies

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Why Choose UNIQ?

Complete Data Science Curriculum

Complete Data Science Curriculum

Covers Python, Statistics, ML, DL, NLP, Power BI, SQL & end-to-end projects.

Real-Time Projects

Real-Time Projects

Work on real datasets involving prediction, classification, NLP, and deep learning.

100% Placement Support

100% Placement Support

Get full placement assistance with daily interview leads until you get placed.

Industry Tools & Libraries

Industry Tools & Libraries

Learn TensorFlow, Sklearn, Pandas, NumPy, Seaborn, SciPy, and more.

Hands-On Learning

Hands-On Learning

Every topic includes coding labs and real-world dataset analysis.

Expert Mentors

Expert Mentors

Learn from senior Data Scientists and ML Engineers from top MNCs.

Flexible Schedules

Flexible Schedules

Weekend and weekday classes available for all learners.

Recognized Certification

Recognized Certification

Get an internship certificate that is accepted by leading companies.

What You’ll Learn

Explore the 100-days roadmap that turns you into a Full Stack Developer. Master the foundations first, then move into backend, APIs, frontend frameworks, databases, and deployment.

  1. 1

    Module 01 · Introduction to Data Science

    5 topics
    • What is Data Science and its lifecycle
    • Roles: Data Scientist, Analyst, Engineer
    • Applications of Data Science
    • Overview of tools: Python, Jupyter, Git
    • Problem-solving using data
  2. 2

    Module 02 · Python for Data Science

    5 topics
    • NumPy for numerical computation
    • Pandas for data manipulation
    • Matplotlib & Seaborn for visualization
    • Data cleaning and preprocessing techniques
    • Working with large datasets
  3. 3

    Module 03 · Statistics & Probability

    5 topics
    • Descriptive and inferential statistics
    • Probability distributions
    • Hypothesis testing and p-values
    • Correlation vs causation
    • Statistical significance in Data Science
  4. 4

    Module 04 · Machine Learning Fundamentals

    5 topics
    • Supervised vs unsupervised learning
    • Regression and classification algorithms
    • Clustering: K-Means, Hierarchical
    • Feature engineering and selection
    • Overfitting, underfitting, regularization
  5. 5

    Module 5: Advanced Machine Learning · Data Science

    5 topics
    • Decision trees, Random Forest, XGBoost
    • Support Vector Machines (SVM)
    • Ensemble methods and boosting
    • Model evaluation metrics
    • Cross-validation and tuning hyperparameters
  6. 6

    Module 6: Deep Learning & Neural Networks · Data Science

    5 topics
    • Introduction to neural networks
    • Activation functions, loss functions
    • Training deep learning models
    • Intro to TensorFlow and PyTorch
    • Use cases: NLP, Computer Vision, Speech
  7. 7

    Module 7: Data Visualization & Storytelling · Data Science

    5 topics
    • Principles of effective visualization
    • Dashboards using Power BI and Tableau
    • Building interactive visualizations
    • Storytelling with data
    • Creating reports for business stakeholders
  8. 8

    Module 8: End-to-End Data Science Project · Data Science

    5 topics
    • Defining a real-world business problem
    • Collecting and cleaning raw data
    • Building ML models and evaluating performance
    • Deploying the model (Flask/Streamlit)
    • Presenting results and insights

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Frequently Asked Questions

A Data Science course teaches you to extract insights from data using Python, statistics, machine learning, deep learning, and visualization tools.
No! We start from the basics. You will learn Python programming as part of the course.
Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, Keras, SQL, Power BI, Tableau and NLP tools.
Yes! Companies hire freshers for Data Scientist, ML Engineer, and Analyst positions.
Yes. We provide 100% placement support with resume prep, mock interviews, and daily job openings.
Yes, you will receive Course Completion and Internship Certificates recognized by IT companies.
Absolutely! You will complete projects in ML, DL, forecasting, NLP, and visualization.
Yes! Many students from B.Com, BBA, Civil, Mechanical, ECE, and others have successfully transitioned into Data Science.
Yes, both modes are available and switching between them is free.
The duration is around 4–6 months depending on your batch schedule.

Ready to enquire about the Data Science course in Salem? Contact us today.

Address

Door No:2, Backside of vinayaka vidyalaya school, Lakshmi Street, Arthanari Nagar, Fairlands, Salem, Tamil Nadu 636 004.

Phone

+91 96001 14466

Office Hours

Mon – Sat: 9:00 AM – 7:00 PM

Email

info@uniqtechnologies.co.in

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