[New] Master Class Python Data Analysis for non-programmers

Explore flowchart basics as a visual tool to convert ideas into programs and design readable algorithms. Learn common symbols, loops, and layout rules to map logic in any language.

Explore branching and conditional logic with if statements and select case to evaluate student grades by percentage, guiding outcomes from excellent to fail.

Master looping with for-next constructs, including start, end, and step values, to count up or down and determine repeats; recognize numeric variable types in loop constructs.

Learn Python, a high-level open-source language that runs on Windows, macOS, Linux, and Unix. Beginners study algorithms first, then write their first program, hello world, in PyCharm.

Learn to edit Python code in this lesson: observe case sensitivity, naming conventions, indentation, comments, and essential data types, lists, and dictionaries for data analysis.

Discover Python decision making with if, else, and elif, and learn to implement loops using while and for across sequences. Explore iterable handling, range, and simple prime checks.

Handle text in python with single quotes, double quotes, or triple quotes. Use indexing, slicing, concatenation, and unicode formatting for multilingual output.

Explore the Python list class, a dynamic, resizable container that stores different types, defined with brackets, and supports indexing (including negative indices) plus append, extend, insert, pop, sort.

Master Python tuples: fixed-size, immutable containers with index access (including negative indices), concatenation, and basic sums, plus set basics and operations like union and intersection.

Learn how the dict class maps keys to values, access items by key, and add, update, or delete entries. Explore dictionary creation, mixed keys, and nested structures.

Master the basics of Python modules: create reusable module files, import modules or specific items with from and import, alias with as, and use built-in modules for common tasks.

Explore Python functions, including built-in and user-defined ones with parameters, returns, default arguments, and lambda expressions, plus a Tkinter calculator example built as a class using self and event handling.

Learn to use Python's date time and calendar modules to display date, time, and calendars, create date objects, inspect methods, and customize calendar output including leap years and first weekday.

Learn how to define and instantiate classes in Python, use properties and self, implement the initial function, and explore inheritance, modules, and data hiding with underscores.

Explore how overriding customizes inherited behavior in Python, with examples of subclassing and the super function, and learn to distinguish class methods, static methods, and abstract base classes.

Explore polymorphism in Python, using len across strings and lists, plus practical subclassing with abstract bases and basic iterators and input handling for non-programmers.

Master Python regular expressions using the re module to search, match, split, and substitute text, with examples for email and password validation and common pattern syntax.

Master Python data analysis for non-programmers teaches how to handle exceptions, recognize syntax, runtime, and logic errors, and use try, except, else, and finally to keep programs running.

Explore file handling in Python by reading, writing, appending, and deleting text and binary files with the open function and os module, plus directory operations like list, rename, and removal.

Explore Python’s package installer pip to install, manage, and uninstall packages, connect to MySQL with Python by installing the MySQL driver, and perform create, insert, select, and update SQL operations.

Explore Python multi-threading, where threads share data in a process, communicate efficiently, and learn to create threads with target functions and arguments.

Identify next steps after learning Python, including web development with html, css, javascript, and bootstrap, backend databases like mysql and oracle, and desktop gui options such as tkinter and kivy.

Master data analysis with Python, Excel, Power BI, and SQL by starting with data cleaning, transformation, modeling primary and foreign keys, key performance indicators, and finishing with visualizations and reports.

Design flowchart for the tic tac toe game in python, showing how to convert an idea to flowchart then to code, with check position and determine winner.

Explore building a tic tac toe game in Python with a Tkinter GUI, a nine-position board, and turn logic for X and O, using the attached portable code.

Modify a tic tac toe game in Python using Tkinter with Batman and Superman images, run from PyScripter, tailored for non-programmers to manage player turns, check wins, and customize images.

Create a simple Python application using a pie chart to teach kids English words by displaying animal images and giving feedback for correct or wrong answers.

Demonstrates a flowchart-guided kid-friendly teaching game in Python with PyScripter and Tkinter, using random seven animal images and instant good or bad feedback.

Build a Python Tkinter game for kids with a flowchart-driven interface, text-to-speech, image-based questions, and random animal names.