[Edureka] Python Certification Training for Data Science

[Edureka] Python Certification Training for Data Science

[Edureka] Python Certification Training for Data Science

Edureka’s Python programming certification course lets you be taught Python from scratch. This Python Course may also aid you grasp vital Python programming ideas similar to knowledge operations, file operations, object-oriented programming and numerous Python libraries similar to Pandas, Numpy, Matplotlib that are important for Knowledge Science. Edureka’s Python Certification Coaching course can be a gateway in the direction of your Knowledge Science profession.

In regards to the Python Certification Course

Python has been one of many premier, versatile, and highly effective open-source language that’s simple to be taught, simple to make use of, and has highly effective libraries for knowledge manipulation and evaluation. For over a decade, Python has been utilized in scientific computing and extremely quantitative domains similar to finance, oil and fuel, physics, and sign processing.

Edureka’s Python Certification Coaching not solely focuses on fundamentals of Python, Statistics and Machine Studying but in addition helps one achieve experience in utilized Knowledge Science at scale utilizing Python. The coaching is a step-by-step information to Python and Knowledge Science with intensive palms on. The course is full of a number of exercise issues and assignments and eventualities that aid you achieve sensible expertise in addressing predictive modeling drawback that will both require Machine Studying utilizing Python. Ranging from fundamentals of Statistics similar to imply, median and mode to exploring options similar to Knowledge Evaluation, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Determination Timber and Help Vector Machines with a supporting instance and train aid you get into the weeds.

Moreover, you can be taught of Reinforcement Studying which in flip is a vital side of Synthetic Intelligence. It is possible for you to to coach your machine based mostly on real-life eventualities utilizing Machine Studying Algorithms.

Edureka’s Python course may also cowl each fundamental and superior ideas of Python like writing Python scripts, sequence and file operations in Python. You’ll use libraries like pandas, numpy, matplotlib, scikit, and grasp the ideas like Python machine studying, scripts, and sequence.

Why must you take Python?

• Python is the popular language for brand spanking new applied sciences similar to Knowledge Science and Machine Studying.
• Knowledge Scientist has been named one of the best job in America for 2018 with median base wage of $242,000 and 4,524 job openings – Forbes
• In line with the TIOBE index, Python is likely one of the hottest programming languages on this planet

Who ought to go for this Python Knowledge Science Certification Course?

Edureka’s Knowledge Science certification course in Python is an effective match for the beneath professionals:

• Programmers, Builders, Technical Leads, Architects
• Builders aspiring to be a ‘Machine Studying Engineer’
• Analytics Managers who’re main a staff of analysts
• Enterprise Analysts who wish to perceive Machine Studying (ML) Strategies
• Info Architects who wish to achieve experience in Predictive Analytics
• ‘Python’ professionals who wish to design automated predictive fashions

Content material Desk

• Introduction to Python
• Sequences and File Operations
• Deep Dive – Features, OOPs, Modules, Errors and Exceptions
• Introduction to NumPy, Pandas and Matplotlib
• Knowledge Manipulation
• Introduction to Machine Studying with Python
• Supervised Studying – I
• Dimensionality Discount
• Supervised Studying – II
• Unsupervised Studying
• Affiliation Guidelines Mining and Suggestion Programs
• Reinforcement Studying
• Time Sequence Evaluation
• Mannequin Choice and Boosting.

Created by – Edureka
Language – English

Measurement: 2.47 GB

Download Now



Add a Comment

Your email address will not be published. Required fields are marked *