The Python Bootcamp Data Science, Analytics & Visualisation

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .srt | Duration: 138 lectures (12h 22m) | Size: 6.4 GB Learn From Scratch! What you'll learn: How to navigate and utilise 'Jupyter Notebooks' for Python coding Understanding the different data types in Python How to carry out mathematical and string slicing operations on the respective data The different series and data structures which are used in Python and how to run operations on them How to use different Python statements to apply conditions to your code Creating loops and iterations to drive Python operations How to create your own Python functions The basics to object orientated programming The structure of arrays and how to operate on them by using the 'Numpy' module How to carry out data analysis and analytics operations by using the 'Pandas' module How to explore and understand data sets How to apply operations on data sets to obtain useful information which provides meaningful insights Understanding how to introduce relationships between multiple data sets How to identify and resolve data quality issues How to create visualisations in Python by using the 'MatDescriptionlib' and 'Seaborn' modules How to utilise statistical applications to identify potential anomaly instances in a data set An introduction to Data Science applications How to utilise linear regression and multiple linear regression models to make predictions How to utilise the k-nearest neighbours' model to make predictions How to utilise the decision tree model to make predictions Requirements None! Everything will be taught from scratch! You will be using Jupyter Notebooks in this course, but all the installation steps will be covered in the course Description Add one of the most sought-after skills to your skill set! This course will build your Python skills from scratch! The teaching methods used in this course will build on the foundation with you will gain to a high enough level where you will possess the ability to write Python code confidently and independently. As a result, you will be able to open multiple doors in the current job market! If you want to learn Python operations, data analysis & analytics, data visualisation and the basics to data science, then this course is for you! All of these topics will be covered in Python 3! This course contains more than 12 hours of lectures consisting of upwards spiral learning, so that you keep revisiting previous topics in the course. This will organically ensure that you are building your knowledge in all of the sections in this course, in addition to revising in the quizzes. There practical examples and applications are layered so that the complexity which you come across is easily digestible! You will get lifetime access to this course and we will provide you with additional support if needed! This course is broken down in the following manner: (A) Python Operations: Data Types Numeric Operations String Operations Lists Tuples Dictionaries Sets 'If' statement operations 'While' loop operations 'For' loop operations List comprehensions Creating your own functions Object orientated programming (classes) (B) Arrays (Numpy) Structure of arrays (one and two dimensional) Array operations Applying filters to arrays Analysing arrays (C) Data Analytics (Pandas) Importing data Data frame operations Filtering data Sorting data Bucketing data Replacing data Aggregations Dealing with null values Dealing with duplicate values Appending data frames Joins Cumulative operations Row number Rankings (D) Data Visualisation (MatDescriptionlib) Bar charts Line charts Pie charts (E) Data Visualisation (Seaborn) Scatter charts Distribution Descriptions (F) Data Science Anomaly testing Linear regression Multiple linear regression K-nearest neighbours Decision trees This course is suitable for the following students: Beginners who have no past coding or Python experience SQL users who want to learn about how processes are carried out in Python Intermediate users who have experience in Python that want to learn about Data Analysis/Analytics, Data Visualisation and an introduction to Data Science Who this course is for Beginner Python users Students who want to learn how to use Python for data analysis & data analytics Students who who want to gateway into the world of coding Homepage https://www.udemy.com/course/the-python-bootcamp-data-science-analytics-visualisation/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me Download now LINK

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