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via Udemy |
Go to Course: https://www.udemy.com/course/data-engineering-with-python/
Certainly! Here's a comprehensive review, detailed overview, and recommendation for the "Data Engineering with Python" course offered by the Academy of Computing & Artificial Intelligence on Coursera: --- **Course Title:** Data Engineering with Python **Provider:** Academy of Computing & Artificial Intelligence on Coursera **Overview:** The "Data Engineering with Python" course is an expertly designed program aimed at beginners and aspiring data professionals. Developed by a team of highly qualified educators including PhDs, senior lecturers, researchers, and industry experts, this course offers a thorough introduction to core data science, machine learning, and data engineering skills using Python. **Content & Structure:** This course begins with fundamental Python programming concepts such as setting up the environment (using tools like Anaconda), basic syntax, data structures, control flow, functions, and file handling. It then progressively advances into crucial data science topics like data processing, visualization, statistical analysis, and data pre-processing techniques such as scaling, normalization, and feature selection. One of the standout features of this course is its emphasis on practical, hands-on learning. The instructors provide detailed, step-by-step code demonstrations on applying each concept, from data manipulation to machine learning models like linear regression, logistic regression, Naive Bayes, and neural networks using Keras. The course also covers advanced topics such as deep learning with handwritten digit recognition, clustering using K-Means, and building artificial neural networks. Additionally, the course introduces essential software design principles such as flowcharts, modular programming, and algorithm development, emphasizing problem solving and logical thinking. **Strengths & Highlights:** - **Hands-on Approach:** The step-by-step code demonstrations make complex topics accessible and understandable. - **Comprehensive Curriculum:** Covers fundamentals of Python, data visualization, machine learning, deep learning, and software design. - **Supportive Environment:** The platform offers ongoing updates and full instructor support to answer questions. - **Suitable for Beginners:** No prior experience is required; the course starts from scratch and builds up. - **Career Advancement:** Designed to equip learners with in-demand skills for data science, machine learning, and data engineering roles. **Recommendations:** I highly recommend this course for anyone new to Python programming and data science who aims to build a solid foundation and practical skills in data engineering. It is also an excellent choice for those seeking to enhance their career prospects in the tech industry by acquiring valuable data-related skills. **Final Verdict:** With its comprehensive content, practical demonstrations, and supportive learning environment, the "Data Engineering with Python" course on Coursera is a valuable resource for beginners eager to start their journey in data science and engineering. Its continual updates and thorough coverage make it a reliable and effective learning platform. Plus, the satisfaction guarantee ensures a risk-free investment in your education. --- If you want a concise summary or specific focus points, let me know!
Academy of Computing & Artificial Intelligence proudly present you the course "Data Engineering with Python". It all started when the expert team of Academy of Computing & Artificial Intelligence (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts. hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2020. To make the course more interactive, we have also provided a code demonstration where we explain to you how we could apply each concept/principle [Step by step guidance].RequirementsHere's the checklist:A computer - Setup and installation instructions are included.Your enthusiasm to learn Everything else needed is already included in the course.At the end of the Course you will understand the basics of Python Programming and the basics of Data Science & Machine learning.The course will have step by step guidance for machine learning & Data Science with Python.You can enhance your core programming skills to reach the advanced level. Setting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques: Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]Naive Bayes Classifier with Python [Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering [K - Means Clustering ]K - Means ClusteringPython ProgrammingSetting up the environmentPython For Absolute Beginners: Setting up the Environment: AnacondaPython For Absolute Beginners: Variables , Lists, Tuples , DictionaryBoolean operationsConditions , Loops(Sequence , Selection, Repetition/Iteration)FunctionsFile Handling in PythonFlow ChartsAlgorithmsModular DesignIntroduction to Software Design - Problem SolvingSoftware Design - Flowcharts - SequenceSoftware Design - Modular DesignSoftware Design - RepetitionFlowcharts Questions and Answers # Problem SolvingDoes the course get updated?We continually update the course as well.What if you have questions?we offer full support, answering any questions you have.There's no risk!This course comes with a full 30 day money-back guarantee. Who this course is for:Beginners with no previous python programming experience looking to obtain the skills to get their first programming job.Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.Who want to improve their career options by learning the Python Data Engineering skills.