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About Course

The Data Science with AI course offers an in-depth exploration of data science and artificial intelligence. This program equips learners with the essential skills to analyze complex data, develop predictive models, and apply advanced AI techniques. Covering both foundational and cutting-edge technologies, the course prepares students to make data-driven decisions and tackle real-world problems through hands-on projects and expert instruction.

#Benefits of this Course

Benefits

Course Completion Certificate

Gain a recognized certificate to validate your skills and enhance your resume.

Community Forum

Connect with peers for support and networking.

Hands-On Projects

Apply your knowledge through practical projects.

Expert Tutors

Learn from industry professionals with extensive experience.

Soft Skills Training

Develop essential skills like communication and teamwork.

Networking Opportunities

Build connections with industry experts and potential employers.

Data science Training
  • Total Duration180 days
  • Student Enrolled25
  • Mode of Training

    online offline

  • Available Batches

    Weekdays Weekends

  • Skill Level: Intermediate
  • Course Language

    Hindi Tamil English

  • Quizzes10
  • Certificateyes
  • Placement Percentage80%
  • Instructorundefined

₹ 41300.00 ₹ 50000.00

₹ 44800.00 ₹ 53100.00

Including 18% GST

#Tools in this COURSES

Tools and Technologies

Programming and Data Manipulation:

Python Jupyter Notebook Pandas NumPy SciPy

Data Visualization:

Matplotlib Seaborn Tableau

Databases :

MySQL PostgreSQL SQLite SQLAlchemy

Machine Learning:

Scikit-learn TensorFlow Keras PyTorch

Natural Language Processing:

NLTK SpaCy

Big Data:

Apache Spark Apache Hive Hadoop PySpark HDFS

AI and Deep Learning:

TensorFlow Keras PyTorch

Reinforcement Learning:

OpenAI Gym TensorFlow Agents

#Topics Covered

What Are The Topics Covered By This Course?

Python Programming:
  • Basics

  • data structures

  • and manipulation with Pandas

Probability and Statistics:
  • escriptive statistics

  • probability distributions

  • and hypothesis testing

AI Ethics and Governance:
  • Ethical considerations

  • bias in AI systems

  • AI governance

Reinforcement Learning:
  • Fundamentals

  • key algorithms like Q-learning

  • practical applications

Machine Learning:
  • Supervised and unsupervised learning

  • model evaluation

  • key algorithms such as regression and classification

Deep Learning:
  • Neural networks

  • model building with TensorFlow and Keras

  • advanced architectures

Natural Language Processing (NLP):
  • Text processing

  • sentiment analysis

  • NLP with NLTK and SpaCy

jQuery
  • Data processing with Apache Spark

  • data warehousing with Apache Hive

  • AJAX and jQuery Plugins

Natural Language Processing (NLP):
  • Text processing

  • sentiment analysis

  • NLP with NLTK and SpaCy

Big Data Processing:
  • Data processing with Apache Spark

  • data warehousing with Apache Hive

Data Visualization:
  • Techniques using Matplotlib

  • Seaborn

  • and creating dashboards with Tableau

Data Engineering:
  • Data pipelines

  • storage solutions

  • ETL processes

Additional Information

The Data Science with AI course offers an in-depth exploration of data science and artificial intelligence. This program equips learners with the essential skills to analyze complex data, develop predictive models, and apply advanced AI techniques. Covering both foundational and cutting-edge technologies, the course prepares students to make data-driven decisions and tackle real-world problems through hands-on projects and expert instruction.

#FAQ

Frequently Asked Questions

This course is ideal for aspiring data scientists, AI enthusiasts, professionals transitioning into data science, business analysts seeking advanced analytical skills, and computer science students and recent graduates.
Yes, you will have access to instructors and mentors who provide guidance, answer questions, and offer support throughout the course. There will also be forums and community groups for peer support.
Yes, the course is designed to be flexible, allowing you to study at your own pace. You can choose to take the course part-time or full-time based on your schedule.
The course is flexible in duration and can be completed within 6 to 12 months, depending on your pace.
Basic knowledge of programming and statistics is recommended but not required. The course begins with foundational concepts and advances to more complex topics.
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