Data Visualization Overview

Roadmap to Become UI/UX Designer🎨

📂 Design Basics
∟📂 Color Theory
∟📂 Wireframe Skills
∟📂 Prototyping Tools
∟📂 User Testing
∟📂 Build Projects
∟ ✅ Apply For Job

Free Online courses with certificate from Microsoft

Python for beginners
https://learn.microsoft.com/en-us/training/paths/beginner-python/

Get started with Azure Cosmos DB for NoSQL
https://learn.microsoft.com/en-us/training/paths/get-started-azure-cosmos-db-sql-api/

Introduction to machine learning with Python and Azure Notebooks
https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/

Automate development tasks by using GitHub Actions
https://bit.ly/48E75xT

SQL, Power BI & AI Fundamentals
https://tinyurl.com/bdcsnxmf

Write your first code using C#
https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/

Join for more free resources
https://t.me/techpsyche

ENJOY LEARNING 👍👍

Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Data Visualization Tools

𝐔𝐩𝐬𝐤𝐢𝐥𝐥 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝟑 𝐦𝐮𝐬𝐭-𝐝𝐨 𝐟𝐫𝐞𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐜𝐨𝐮𝐫𝐬𝐞𝐬! 📊

1️⃣ Data Analytics Essentials by Cisco - Learn the fundamentals.

2️⃣ Google Data Analytics Professional - Access it for FREE using this ChatGPT prompt: 'Write a financial aid for me to apply on Coursera’s Google Data Analytics Professional course considering that I am a student who does not earn yet.'

3️⃣ Complete Power BI Course by Microsoft - Master data visualization!

𝐋𝐢𝐧𝐤👇:-

https://tinyurl.com/m239d2s8

Enroll For FREE & Get Certified 🎓

If You Are a Software Developer, Keep This in Mind

1. Keep It Simple
Complexity is your enemy. Write code that’s easy to understand and maintain.

2.Focus on User Needs
Always think about the end-user. Build software that solves real problems.

3. Test Early, Test Often
Testing is not an option. Catch bugs early by writing tests and using automation tools.

4. Write Clear Code
Make sure your code is easy to read and understand for others (and your future self).

5. Document Your Code
Well-documented code saves time and helps others understand your work.

6. Modularize Your Code
Break your code into smaller, reusable parts. It’s easier to manage and update.

7. Keep Learning
Technology changes fast. Stay curious and keep up with new tools and best practices.

11 Resume changes to get more Interview Calls

Coding and Aptitude Round before interview

Coding challenges are meant to test your coding skills (especially if you are applying for ML engineer role). The coding challenges can contain algorithm and data structures problems of varying difficulty. These challenges will be timed based on how complicated the questions are. These are intended to test your basic algorithmic thinking.
Sometimes, a complicated data science question like making predictions based on twitter data are also given. These challenges are hosted on HackerRank, HackerEarth, CoderByte etc. In addition, you may even be asked multiple-choice questions on the fundamentals of data science and statistics. This round is meant to be a filtering round where candidates whose fundamentals are little shaky are eliminated. These rounds are typically conducted without any manual intervention, so it is important to be well prepared for this round.

Sometimes a separate Aptitude test is conducted or along with the technical round an aptitude test is also conducted to assess your aptitude skills. A Data Scientist is expected to have a good aptitude as this field is continuously evolving and a Data Scientist encounters new challenges every day. If you have appeared for GMAT / GRE or CAT, this should be easy for you.

Resources for Prep:

For algorithms and data structures prep,Leetcode and Hackerrank are good resources.

For aptitude prep, you can refer to IndiaBixand Practice Aptitude.

With respect to data science challenges, practice well on GLabs and Kaggle.

Brilliant is an excellent resource for tricky math and statistics questions.

For practising SQL, SQL Zoo and Mode Analytics are good resources that allow you to solve the exercises in the browser itself.

Things to Note:

Ensure that you are calm and relaxed before you attempt to answer the challenge. Read through all the questions before you start attempting the same. Let your mind go into problem-solving mode before your fingers do!

In case, you are finished with the test before time, recheck your answers and then submit.

Sometimes these rounds don’t go your way, you might have had a brain fade, it was not your day etc. Don’t worry! Shake if off for there is always a next time and this is not the end of the world.

Follow This WhatsApp Channel for More Interview Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

JavaScript Roadmap
|
|-- Fundamentals
| |-- Basics of Programming
| | |-- Introduction to JavaScript
| | |-- Setting Up Development Environment (IDE: VSCode, Sublime Text, etc.)
| |
| |-- Syntax and Structure
| | |-- Basic Syntax
| | |-- Variables (var, let, const) and Data Types
| | |-- Operators and Expressions
|
|-- Control Structures
| |-- Conditional Statements
| | |-- If-Else Statements
| | |-- Switch Case
| |
| |-- Loops
| | |-- For Loop
| | |-- While Loop
| | |-- Do-While Loop
| | |-- For...in and For...of Loops
| |
| |-- Exception Handling
| | |-- Try-Catch Block
| | |-- Finally Block
| | |-- Throwing Errors
|
|-- Functions and Scope
| |-- Defining Functions
| | |-- Function Declarations
| | |-- Function Expressions
| | |-- Arrow Functions
| |
| |-- Parameters and Arguments
| | |-- Default Parameters
| | |-- Rest and Spread Operators
| |
| |-- Scope
| | |-- Global and Local Scope
| | |-- Hoisting
| | |-- Closures
|
|-- Object-Oriented Programming (OOP)
| |-- Basics of OOP
| | |-- Objects and Properties
| | |-- Methods
| |
| |-- Prototypes and Inheritance
| | |-- Prototype Chain
| | |-- Inheritance with Prototypes
| |
| |-- Classes
| | |-- Class Syntax
| | |-- Constructors
| | |-- Inheritance (extends and super)
| |
| |-- Encapsulation
| | |-- Private and Public Members (using # for private)
|
|-- Advanced JavaScript
| |-- Asynchronous JavaScript
| | |-- Callbacks
| | |-- Promises
| | |-- Async/Await
| |
| |-- Event Loop
| | |-- Understanding the Event Loop
| | |-- Microtasks and Macrotasks
|
|-- Data Structures
| |-- Arrays
| | |-- Array Methods (map, filter, reduce, etc.)
| | |-- Array Manipulation
| |
| |-- Objects
| | |-- Creating and Manipulating Objects
| | |-- Object Methods (keys, values, entries)
| |
| |-- Sets and Maps
| | |-- Working with Sets
| | |-- Working with Maps
|
|-- Browser APIs
| |-- Document Object Model (DOM)
| | |-- Selecting Elements
| | |-- Manipulating Elements
| | |-- Event Handling
| |
| |-- Fetch API
| | |-- Making HTTP Requests
| | |-- Handling Responses
| |
| |-- Web Storage
| | |-- LocalStorage and SessionStorage
|
|-- Libraries and Frameworks
| |-- jQuery
| | |-- Basics of jQuery
| | |-- DOM Manipulation with jQuery
| |
| |-- React
| | |-- Components and JSX
| | |-- State and Props
| | |-- Lifecycle Methods
| |
| |-- Angular
| | |-- Components and Templates
| | |-- Services and Dependency Injection
| | |-- Routing
| |
| |-- Vue
| | |-- Vue Instance
| | |-- Templates and Directives
| | |-- Vue Router
|
|-- Build Tools and Module Bundlers
| |-- NPM and Yarn
| | |-- Package Management
| | |-- Scripts and Dependencies
| |
| |-- Webpack
| | |-- Module Bundling
| | |-- Loaders and Plugins
| |
| |-- Babel
| | |-- Transpiling JavaScript
| | |-- Using Presets and Plugins
|
|-- Testing in JavaScript
| |-- Unit Testing
| | |-- Jest (Setup, Writing Tests, Mocking)
| | |-- Mocha and Chai
| |
| |-- End-to-End Testing
| | |-- Cypress
| | |-- Selenium WebDriver
|
|-- Deployment and DevOps
| |-- Continuous Integration/Continuous Deployment (CI/CD)
| | |-- GitHub Actions
| | |-- Travis CI
| |
| |-- Containers and Microservices
| | |-- Docker (Dockerfile, Image Creation, Container Management)
| | |-- Kubernetes (Pods, Services, Deployments, Managing JavaScript Applications on Kubernetes)

Free JavaScript Courses 👇👇

https://udacity.com/course/intro-to-javascript--ud803

https://udemy.com/course/javascript-essentials-mini-course

https://udacity.com/course/object-oriented-javascript--ud711

https://t.me/javascriptresourcestp

https://www.udemy.com/course/code-your-first-game

Join for more free courses
https://t.me/javascriptresourcestp

ENJOY LEARNING 👍👍

ML Algorithms

Complete Machine Learning Roadmap

1. Introduction to Machine Learning
- Definition
- Purpose
- Types of Machine Learning (Supervised, Unsupervised, Reinforcement)

2. Mathematics for Machine Learning
- Linear Algebra
- Calculus
- Statistics and Probability

3. Programming Languages for ML
- Python and Libraries (NumPy, Pandas, Matplotlib)
- R

4. Data Preprocessing
- Handling Missing Data
- Feature Scaling
- Data Transformation

5. Exploratory Data Analysis (EDA)
- Data Visualization
- Descriptive Statistics

6. Supervised Learning
- Regression
- Classification
- Model Evaluation

7. Unsupervised Learning
- Clustering (K-Means, Hierarchical)
- Dimensionality Reduction (PCA)

8. Model Selection and Evaluation
- Cross-Validation
- Hyperparameter Tuning
- Evaluation Metrics (Precision, Recall, F1 Score)

9. Ensemble Learning
- Random Forest
- Gradient Boosting

10. Neural Networks and Deep Learning
- Introduction to Neural Networks
- Building and Training Neural Networks
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)

11. Natural Language Processing (NLP)
- Text Preprocessing
- Sentiment Analysis
- Named Entity Recognition (NER)

12. Reinforcement Learning
- Basics
- Markov Decision Processes
- Q-Learning

13. Machine Learning Frameworks
- TensorFlow
- PyTorch
- Scikit-Learn

14. Deployment of ML Models
- Flask for Web Deployment
- Docker and Kubernetes

15. Ethical and Responsible AI
- Bias and Fairness
- Ethical Considerations

16. Machine Learning in Production
- Model Monitoring
- Continuous Integration/Continuous Deployment (CI/CD)

17. Real-world Projects and Case Studies

18. Machine Learning Resources
- Online Courses
- Books
- Blogs and Journals

📚 Learning Resources for Machine Learning:
- [Python for Machine Learning](https://t.me/pythonresourcestp/48)
- [Fast.ai: Practical Deep Learning for Coders](https://course.fast.ai/)
- [Intro to Machine Learning](https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/)

📚 Books: https://t.me/mlresourcestp/45

📚 Join for more free resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

ENJOY LEARNING! 👍👍

Learn for Free

Free Programming Resources 👇👇

✅ Data science and Data Analytics Free Courses by Google

https://developers.google.com/edu/python/introduction

https://grow.google/intl/en_in/data-analytics-course/?tab=get-started-in-the-field

https://cloud.google.com/data-science?hl=en

https://developers.google.com/machine-learning/crash-course

https://t.me/datascienceresourcestp/52

🔍 Free Data Analytics Courses by Microsoft

1. Get started with microsoft dataanalytics
https://learn.microsoft.com/en-us/training/paths/data-analytics-microsoft/

2. Introduction to version control with git
https://learn.microsoft.com/en-us/training/paths/intro-to-vc-git/

3. Microsoft azure ai fundamentals
https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

🤖 Free AI Courses by Microsoft

1. Fundamentals of AI by Microsoft

https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/

2. Introduction to AI with python by Harvard.

https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python

📚 Useful Resources for the Programmers

Data Analyst Roadmap
https://t.me/dataanalysisresourcestp/48

Free C course from Microsoft
https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019

Interactive React Native Resources
https://fullstackopen.com/en/part10

Python for Data Science and ML
https://t.me/pythonresourcestp/39

Ethical Hacking Course
https://t.me/zerotrusthackers/18

Unity Documentation
https://docs.unity3d.com/Manual/index.html

Advanced Javascript concepts
https://t.me/javascriptresourcestp/446

Oops in Java
https://nptel.ac.in/courses/106105224

Intro to Version control with Git
https://docs.microsoft.com/en-us/learn/modules/intro-to-git/0-introduction

Free PowerBI course by Microsoft
https://docs.microsoft.com/en-us/users/microsoftpowerplatform-5978/collections/k8xidwwnzk1em

Data Structures Interview Preparation
https://t.me/techpsyche/501

🍻 Free Programming Courses by Microsoft

❯ JavaScript
http://learn.microsoft.com/training/paths/web-development-101/

❯ TypeScript
http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/

❯ C#
http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07

Join for more free resources.
https://t.me/techpsyche

ENJOY LEARNING 👍👍

📚 Join for more free resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Remote UI/UX Designer Needed at SPIRALYZE

Company: SPIRALYZE
Job Type: Fulltime

Required skills:
* Think in UI design: 3+ years of UI/UX design experience.
* Excel in UI with bonus UX experience.
* Expert in Figma: Create style libraries and handover files.
* Familiarity with HTML, CSS, and responsive frameworks.
* Stay updated on UI/UX trends.
* Overlap with EST (New York time) for 4+ hours.
* Excellent communication skills.

Apply Here:
https://kenyatrends.co.ke/remote-ui-ux-designer-needed-at-spiralyze/

Remote Software Engineer (Frontend, Backend, or Full stack) Job at Subscript

You'll work on:
* Backend: database design and implementation, complex data management problems, API design and implementation, writing tests
* Frontend: building features in our react app, HTML/CSS + styled components, building amazing user experiences, writing tests
* Frontend and backend: building and iterating on our product, collaborating with designers and founders, and making a product that users will love.

Apply Here:
https://kenyatrends.co.ke/remote-software-engineer-frontend-backend-or-full-stack-job-at-subscript/