Python For Data Scientist Training Course (Machine Learning)

by Elysium Academy Claim Listing

Elysium Academy is a leader in the Data Science domain, offering a comprehensive program to help you harness, interpret, and utilize data in unprecedented ways.

Price : Enquire Now

Contact the Institutes

Fill this form

Advertisement

Elysium Academy Logo

img Duration

90 Hours

Course Details

Elysium Academy is a leader in the Data Science domain, offering a comprehensive program to help you harness, interpret, and utilize data in unprecedented ways.

Our Python for Data Scientist – Machine Learning course offers learners the opportunity to master the essential programming skills used by data scientists today. Dive into the dynamic field of data science and learn Python, machine learning, deep learning, and their applications guided by experienced instructors. Graduates will be equipped to solve real-world data analysis challenges.

 

Course Goals:

The Python for Data Scientist – Machine Learning course aims to help you master Python programming concepts. This training covers data analysis, machine learning, data visualization, web scraping, and natural language processing (NLP).

 

Future Scope of this Course:

  • High demand for data scientists with Python and machine learning skills.
  • Python's versatility and extensive libraries are crucial for data science.
  • Machine learning's integration in various industries is expanding.
  • Advancements in AI and machine learning offer continuous learning opportunities.
  • Graduates can become Data Scientists, Machine Learning Engineers, and AI Specialists.

 

What Will You Learn?

  • Master Python fundamentals: variables, data types, loops, and functions.
  • Advance in object-oriented programming (OOP) and error handling.
  • Utilize powerful libraries like NumPy and Pandas for data manipulation.
  • Visualize data effectively using Matplotlib and Seaborn.
  • Implement machine learning algorithms with Scikit-learn.
  • Explore deep learning techniques using TensorFlow.

 

Syllabus:

  • Chapter-1 Getting Started
  • Chapter-2 Data Collection and Preprocess
  • Chapter-3 Visualizations
  • Chapter-4 Machine Learning
  • Chapter-5 Algorithms
  • Chapter-6 Evaluation Metrics
  • Chapter-7 Hypertunning Model and Clustering
  • Chapter-8 NLP and Recommendation System
  • Chapter-9 Deep Learning
  • Chapter-10 Projects
  • Coimbatore Branch

    #61, VKK Menon Road, Coimbatore

© 2025 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy