Python With Science

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Data Science with Python training

Unlock the power of Data Science with python training and and accelerate your career in one of the fastest-growing fields. This comprehensive, hands-on course is designed for U.S. Green Card holders, experienced professionals, and students looking to master data-driven decision-making.

Data Science with Python Objectives

Learn to use libraries like Pandas, NumPy, and Matplotlib to analyze and visualize data effectively.

Gain expertise in visualizing data effectively using tools like Tableau, R, SAS, Data Visualization, Python, Power BI, and Excel and more.

Apply statistical techniques to extract meaningful insights from data.

Gain hands-on experience with machine learning algorithms using Scikit-Learn.

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What We Offer ?

  • Our Data Science with Python course covers everything from basic concepts to advanced techniques.
  • Develop a strong foundation in Python, data analysis, data visualization, and machine learning.
  • Learn from industry experts with extensive experience in data science.
  • Receive personalized mentorship and guidance to help you navigate your career transition.
  • Gain practical experience through hands-on projects and real-world case studies.
  • Build a portfolio that showcases your skills to potential employers.

What You Gain ?

  • Choose between in-person and online classes to suit your schedule and learning style.
  • Access course materials and resources anytime, anywhere.
  • Benefit from dedicated career support including resume building, interview preparation, and job placement assistance.
  • Leverage our network of industry connections to secure job opportunities.
  • Earn a certification upon successful completion of the course, recognized by employers in the industry.
  • Enhance your resume and validate your expertise in data science with Python.

 

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Melbourne, Australia
(Sat - Thursday)
(10am - 05 pm)

We understand the importance of approaching each work integrally and believe in the power of simple.

Melbourne, Australia
(Sat - Thursday)
(10am - 05 pm)

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