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Updated in [September 15th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
Hi allPredictive analytics is a branch of advanced analytics that uses statistical techniques machine learning algorithms and data mining to analyze historical data and make predictions about future events or trends It helps organizations to identify patterns understand trends and anticipate outcomes which can lead to better decision-making and more efficient operations Predictive analytics is used in a variety of industries including finance healthcare marketing and manufacturing By using predictive analytics organizations can gain insights into customer behaviour optimize marketing campaigns detect fraud and improve supply chain management among other benefitsIn this course we will be covering all the important basics of Predictive analytics and then we will start with all the important concepts about Python and Object Oriented Programming Python is a general-purpose language used in major areas like data science machine learning and web developmentThis course covers almost all the essential concepts of Python As a beginner it is essential to have a basic clear and thorough understanding of the concepts This course focuses on these points and we have tried our best to deliver it in a way which will help you to get the basics right as well as concepts clearThe key concepts covered in this course are:1 Built-in data types like list dictionary tuple set string with their functionalities2 List comprehension lambda function and decorators in Python3 Object-oriented programming in Python4 Creating an application using all the learned concepts5 Predictive Analytics6 A predictive model using Random Forest Algorithm to predict a winner between two given pokemonDoes this course cover all the concepts of Data Science and Web development?I will be honest with you the course does not cover all the concepts of Web Development (although we have different courses for that we will discuss it some other day) however it does cover about basics of Data Science and Machine Learning

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)

What skills and knowledge will you acquire during this course?
During this course, the learner will acquire skills and knowledge in predictive analytics using Python. They will learn statistical techniques, machine learning algorithms, and data mining to analyze historical data and make predictions about future events or trends. The course will cover important concepts of Python and object-oriented programming, which are essential in data science, machine learning, and web development. The learner will gain a clear understanding of built-in data types, list comprehension, lambda functions, decorators, and object-oriented programming in Python. They will also learn how to create an application using these concepts. Additionally, the course will cover the basics of data science and machine learning, including predictive analytics. The learner will have the opportunity to apply their knowledge by creating a predictive model using the Random Forest Algorithm to predict a winner between two given Pokémon. However, it is important to note that this course does not cover all the concepts of web development, but it does provide a foundation in data science and machine learning.

How does this course contribute to professional growth?
This course on Learning Predictive Analytics with Python contributes to professional growth by providing individuals with the necessary skills and knowledge to effectively analyze historical data and make predictions about future events or trends. By understanding and applying statistical techniques, machine learning algorithms, and data mining, professionals can identify patterns, understand trends, and anticipate outcomes, leading to better decision-making and more efficient operations.

The course covers all the important basics of Predictive Analytics, ensuring that individuals have a solid foundation in this field. Additionally, it delves into the important concepts of Python and Object Oriented Programming, which are widely used in data science, machine learning, and web development. By mastering these concepts, professionals can enhance their technical skills and expand their career opportunities.

While the course does not cover all the concepts of Web Development, it does provide a comprehensive understanding of the basics of Data Science and Machine Learning. This knowledge is valuable in various industries, including finance, healthcare, marketing, and manufacturing. By gaining insights into customer behavior, optimizing marketing campaigns, detecting fraud, and improving supply chain management, professionals can contribute to the success of their organizations.

Overall, this course on Learning Predictive Analytics with Python is a valuable resource for professionals looking to enhance their skills and contribute to their professional growth. By acquiring the knowledge and techniques taught in this course, individuals can become proficient in predictive analytics and make informed decisions based on data analysis.

Is this course suitable for preparing further education?

Course Syllabus

Theoretical Introduction of Predictive Analytics.

Python Tutorial

Creating a Predictive Analytics App using Python