Python For Data Science Full Course - 9 Hours | Data Science With Python | Python Training | Edureka

🔥Edureka Python for Data Science Certification Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): www.edureka.co/data-science-python-certification-c…
This Edureka video on the 'Python For Data Science Full Course' will help you learn Python for Data Science including all the relevant libraries. Following are the topics discussed in this Python for Data Science tutorial:

00:00 Agenda
02:37 Introduction To Data Science
03:03 Need for Data Science
06:05 What is Data Science
10:56 Data Science Life Cycle
26:50 Jupyter Notebook Tutorial
48:34 Statistics For Data Science
02:14:32 Python Libraries For Data Science
02:14:25 Python Numpy
02:44:42 Python Pandas
03:18:24 Python Scipy
03:36:21 Python Matplotlib
04:04:19 Python Seaborn
04:22:57 Machine Learning With Python
04:33:47 Maths For Machine Learning
05:32:40 Machine Learning Algorithms
05:41:36 Classification In Machine Learning
06:14:07 Linear Regression In Machine Learning
06:41:59 Logistic Regression In Machine Learning
7:33:44 Deep Learning With Python
07:40:10 Keras Tutorial
08:06:14 TensorFlow Tutorial
08:52:35 Pyspark Tutorial

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🔵 Python Online Training: bit.ly/3Oubt8M
🔵 Data Science Online Training: bit.ly/3V3nLrc

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 Data Scientist Masters Program: bit.ly/3tUAOiT
🔵 Python Developer Masters Program: bit.ly/3EV6kDv

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: bit.ly/3OuZ3xs

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About the course

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.

Edureka's Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.

Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.

Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence.
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Why learn Python?

It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger.

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