- Downloading and Setting up Python and PyCharm IDE
- Python For Absolute Beginners : Setting up the Environment : Anaconda
Beginner
Online
₹ 649 1,299
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Python for data engineering primarily consists of data manipulation such as restructuring, integrating, and connecting widely divergent sources, as well as comparatively tiny ETL, API interaction, and automation. The Academy of Computing & Artificial Intelligence designed the Data Engineering with Python online certification, which Udemy presents for applicants who want to learn how to develop effective data architecture, streamline data processing, and maintain large-scale data systems.
Data Engineering with Python online classes offers 14 hours of comprehensive lectures supported by downloadable resources and 3 articles that aims to help the applicants to improve their python programming skills to move into domains such as data science, machine learning, and artificial intelligence. Data Engineering with Python online course discusses supervised learning, unsupervised learning, clustering, logistic regression, linear regressions, random forest, trees, naive Bayes, and more.
The highlights
- Certificate of completion
- Self-paced course
- 14 hours of pre-recorded video content
- 3 articles
- 1 downloadable resource
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
- Accessible on mobile devices and tv
Course and certificate fees
Fees information
certificate availability
certificate providing authority
What you will learn
After completing the Data Engineering with Python certification course, applicants will gain a hands-on understanding of the techniques associated with python programming and Keras for data engineering and data science activities. In this data engineering course, applicants will explore the fundamentals involved with software design, data preparation, data pre-processing, data visualization, machine learning, supervised learning and unsupervised learning, and artificial neural networks. In this data engineering certification, applicants will learn about concepts and strategies involved with univariate linear regression, multivariate linear regression, naive Bayes classifiers, logistic regression, support vector machines, random forest, trees, clustering, and k-means clustering.
The syllabus
Setting up Python
Python Theory
- Python For Absolute Beginners - Variables - Part 1
- Python For Absolute Beginners - Variables - Part 2
- Python For Absolute Beginners - Variables - Part 3
- Python For Absolute Beginners - Lists
- Python For Absolute Beginners - Lists Part 2
- Python For Absolute Beginners - Lists Part 3
- Python - Conditions - if, if-else and elif Part 1
- Python - Conditions - if, if-else and elif Part 2
- Python - Relational Operators Boolean operators -
- Python For beginners - Loops #Iteration
- Python Programming Tutorial : Loops part 1 #Guess the number program
- Python Programming Tutorial : Loops part 2 #Getting a random number
- Python Programming Tutorial : Loops part 1 #Guess the number program #Modified
- Python program to Find the Class Average
- Python : Functions : Demonstration
- Pass by reference vs value
- Python Function - Arguments (Required, Keyword, Default)
- Python: For Loops #Iteration # Repetition
- Python File Handling - Part 1
Software Design
- Software Design - Problem Solving
- Software Design - Flowcharts - Sequence
- Software Design - Repetition
- Flowcharts Questions and Answers # Problem Solving
Python Tutorials
- Tutorial 1 - Introduction
- Tutorial 2 - Built-In Functions
- Tutorial 3 - if conditions
- Tutorial 4 - while loops
- Tutorial 5 - for loops and exceptions
- Tutorial 6 - for loop challenge questions
- Tutorial 7 - Guess the Word Game
- Tutorial 8 - Functions (Dragon Kingdom Game)
Setting up the Environment for Machine Learning
- Downloading and Setting up Anaconda for Machine Learning
Understanding Data With Statistics & Data Pre-processing
- Understanding Data with Statistics: Reading data from file
- Understanding Data with Statistics: Checking dimensions of Data
- Understanding Data with Statistics: Statistical Summary of Data
- Understanding Data with Statistics: Correlation between attributes
- Data Pre-processing - Scaling with a demonstration in python
- Data Pre-processing - Normalization , Binarization , Standardization in Python
- Feature Selection Techniques : Univariate Selection
Data Visualization with Python
- Data preparation and Bar Chart
- Data Visualization with Python Histogram , Pie Chart, etc..
Artificial Neural Networks [Comprehensive Sessions]
- Introduction to Artificial Neural Networks
- Creating the First ANN from Scratch with Python
- Multiple Input Neuron
- Creating a simple layer of neurons, with 4 inputs. # Python # From scratch
- ANN - Illustrative Example
- KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step
- Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project]
Naive Bayes Classifier with Python [Lecture & Demo]
- Lecture & Demo: Naive bayes classifier
Linear regression
- Linear regression
- Univariate Linear Regression Demo [Hands-on] Part 1- Linear Regression
- Univariate Linear Regression Demo [Hands-on] Part 2- Linear Regression
- Multivariate Linear Regression Demo [Hands-on] Linear Regression
Logistic regression
- Logistic regression
Introduction to clustering [K - Means Clustering ]
- What is clustering in Machine Learning
- K - Means Clustering
- [hands-on] K - Means clustering with python step by step implementation
- K-Means clustering - Code walkthrough with Theory & Practical
Extra Reading
- Neural Network Optimization
- Popular resources from Top Universities of the world
- Machine Learning - Source codes
Articles
Popular Articles
Latest Articles
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