The audacity of people and companies that run ads claiming you can become a website owner in less than five minutes, without any coding knowledge! ๐
7 things undermining your CV.
1/ Generic soft skills
โ "Excellent communication and teamwork skills"
โ "Led weekly team meetings for 20+ colleagues, consistently praised for clear action items and 95% follow-through rate"
2/ Empty buzzwords
โ "Results-driven professional with a proven track record"
โ "Increased Q4 sales by 55% through data-driven customer segmentation"
3/ Vague achievements without impact
โ "Managed email campaigns"
โ "Grew email list from 5K to 25K subscribers in 6 months, increasing revenue by 40%"
4/ Novel-length job descriptions
โ "Responsible for managing various projects including daily operations, team coordination, client communication, and ensuring deliverables meet quality standards while maintaining..."
โ "Delivered 3 major projects (2M value) under budget, cutting delivery time by 30%"
5/ Random personal interests
โ "Enjoy reading and traveling"
โ Either cut completely or make it relevant: "Build custom mechanical keyboards (shows attention to detail)"
6/ Old unrelated work experience
โ 3 paragraphs about your internship from 10 years ago
โ One line showing progression: "Advanced from intern to team lead in 18 months"
7/ The skill dump
โ List of 30 random tools you've touched once
โ "Core skills: Tableau (5 years), SQL (advanced), Python (built 3 production apps)"
๐ก The formula that works ๐ก:
Numbers + Specifics + Impact = Interviews
Need a CV that actually gets seen (and gets you interviews)?
10 CV Mistakes You Need to Avoid: t.me/techpsyche/475
๐ง๐ต๐ถ๐ ๐ฟ๐ฒ๐๐๐บ๐ฒ ๐ต๐ฎ๐ ๐ฎ๐ป ๐๐ง๐ฆ ๐๐ฐ๐ผ๐ฟ๐ฒ ๐ผ๐ณ ๐ต๐ฑ: t.me/jobsourceglobal/211
Exclusive Offer reserved for you.
Join Our WhatsApp Channel for Job Opportunities & CV Tips
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
1/ Generic soft skills
โ "Excellent communication and teamwork skills"
โ "Led weekly team meetings for 20+ colleagues, consistently praised for clear action items and 95% follow-through rate"
2/ Empty buzzwords
โ "Results-driven professional with a proven track record"
โ "Increased Q4 sales by 55% through data-driven customer segmentation"
3/ Vague achievements without impact
โ "Managed email campaigns"
โ "Grew email list from 5K to 25K subscribers in 6 months, increasing revenue by 40%"
4/ Novel-length job descriptions
โ "Responsible for managing various projects including daily operations, team coordination, client communication, and ensuring deliverables meet quality standards while maintaining..."
โ "Delivered 3 major projects (2M value) under budget, cutting delivery time by 30%"
5/ Random personal interests
โ "Enjoy reading and traveling"
โ Either cut completely or make it relevant: "Build custom mechanical keyboards (shows attention to detail)"
6/ Old unrelated work experience
โ 3 paragraphs about your internship from 10 years ago
โ One line showing progression: "Advanced from intern to team lead in 18 months"
7/ The skill dump
โ List of 30 random tools you've touched once
โ "Core skills: Tableau (5 years), SQL (advanced), Python (built 3 production apps)"
๐ก The formula that works ๐ก:
Numbers + Specifics + Impact = Interviews
Need a CV that actually gets seen (and gets you interviews)?
10 CV Mistakes You Need to Avoid: t.me/techpsyche/475
๐ง๐ต๐ถ๐ ๐ฟ๐ฒ๐๐๐บ๐ฒ ๐ต๐ฎ๐ ๐ฎ๐ป ๐๐ง๐ฆ ๐๐ฐ๐ผ๐ฟ๐ฒ ๐ผ๐ณ ๐ต๐ฑ: t.me/jobsourceglobal/211
Exclusive Offer reserved for you.
Join Our WhatsApp Channel for Job Opportunities & CV Tips
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
Forwarded from KT Remote Jobs | Software Development Jobs | IT Jobs | Tech Jobs | Computer Science Remote Jobs
REMOTE JOB - Web 3๐ขRole: Senior Software Development Engineer in Test (SDET)
๐ช Company: Startale
๐Location: Remote (Global)
๐ Experience Years: 5+ Yrs
๐ธ Salary: Not Stated
โฐ Employment Type: Full-time
Responsibilities:
- Design, build, and evolve the companyโs quality engineering platform and testing architecture across unit, integration, contract, API, and end-to-end testing.
- Build and maintain reusable testing frameworks, shared libraries, fixtures, developer tooling, and CI/CD integrations.
- Design and implement AI-assisted quality engineering workflows (automated test generation, failure analysis, regression detection, etc.).
- Develop comprehensive automated test suites for frontend, backend, APIs, blockchain interactions, and complex Web3 user flows.
- Optimize test execution (parallelization, intelligent selection, caching) and drive automation-first practices across teams.
- Validate Web3/DeFi flows including wallets, token operations, smart contracts, transaction lifecycle, and edge cases like reorgs, gas estimation, slippage, and network failures.
Requirements:
- 5+ years in SDET, Quality Engineering, Test Automation, or Software Engineering roles.
- Strong software engineering skills with JavaScript or TypeScript.
- Experience designing testing architecture for complex distributed systems and building scalable automation frameworks from scratch.
- Strong experience with end-to-end testing frameworks such as Playwright or Cypress.
- Strong experience testing APIs (REST, JSON-RPC, GraphQL, WebSocket) and integrating tests into CI/CD pipelines.
- Experience working with Docker and containerized testing environments.
- Experience designing and implementing performance, load, and reliability testing and debugging distributed systems.
Nice to have:
- Professional experience testing Web3 applications, blockchain infrastructure, or DeFi protocols.
- Strong understanding of blockchain fundamentals, smart contracts, wallets, tokens, RPCs, and onโchain transaction flows.
- Experience testing DeFi functionality (swaps, liquidity, staking, lending) and using blockchain testing frameworks or local networks.
- Experience designing AI-assisted testing systems or integrating LLMs into QA workflows.
- Experience with Kubernetes, cloud-native infrastructure, and observability platforms (OpenTelemetry, Prometheus, Grafana, Datadog).
Stack:
JavaScript, TypeScript, Playwright, Cypress, REST, JSON-RPC, GraphQL, WebSocket, Docker, Kubernetes, OpenTelemetry, Prometheus, Grafana, Datadog, LLMs
๐How to Apply:
startale.com/en/career/5177342008
Telegram Channel๐
t.me/remotejobskt
WhatsApp Channel๐
whatsapp.com/channel/0029VageofA3GJP3bu7Wyd37
All the Best๐ฅณ
Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
๐ฑ Mobile App Development Frameworks & Their Use Cases ๐๐ฒ
๐น Flutter โ Cross-platform apps with a single codebase (Android + iOS)
๐น React Native โ Build mobile apps using JavaScript & React
๐น SwiftUI โ Native iOS app development with modern UI approach
๐น Kotlin Multiplatform โ Share business logic across Android & iOS
๐น Ionic โ Hybrid mobile apps using HTML, CSS & JavaScript
๐น Xamarin โ Cross-platform apps using C# and .NET
๐น Android Jetpack โ Modern Android app architecture components
๐น Firebase โ Backend services for authentication, database & hosting
๐น Unity โ Mobile game development with powerful graphics engine
๐น Apache Cordova โ Convert web apps into mobile apps
๐ฌ Tap โค๏ธ if this helped you!
Must do things before uploading your app to the store๐
t.me/mobiledevresourcestp/154
Mobile UI UX: t.me/mobiledevresourcestp/151
Kotlin Multiplatform: t.me/mobiledevresourcestp/145
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐น Flutter โ Cross-platform apps with a single codebase (Android + iOS)
๐น React Native โ Build mobile apps using JavaScript & React
๐น SwiftUI โ Native iOS app development with modern UI approach
๐น Kotlin Multiplatform โ Share business logic across Android & iOS
๐น Ionic โ Hybrid mobile apps using HTML, CSS & JavaScript
๐น Xamarin โ Cross-platform apps using C# and .NET
๐น Android Jetpack โ Modern Android app architecture components
๐น Firebase โ Backend services for authentication, database & hosting
๐น Unity โ Mobile game development with powerful graphics engine
๐น Apache Cordova โ Convert web apps into mobile apps
๐ฌ Tap โค๏ธ if this helped you!
Must do things before uploading your app to the store๐
t.me/mobiledevresourcestp/154
Mobile UI UX: t.me/mobiledevresourcestp/151
Kotlin Multiplatform: t.me/mobiledevresourcestp/145
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Wake up early. Complete the single highest priority task. The rest becomes easy
Learn a skill โ solve problems
Write code โ ship value
Join teams โ build impact
๐ t.me/techpsyche
Write code โ ship value
Join teams โ build impact
๐ t.me/techpsyche
THESE ARE THE MEANING OF THE FOLLOWING ABBREVIATIONS.
1.) GOOGLE - Global Organization Of Oriented Group Language Of Earth.
2.) YAHOO - Yet Another Hierarchical Officious Oracle.
3.) WINDOW - Wide Interactive Network Development for Office work Solution.
4.) COMPUTER - Common Oriented Machine Particularly United and used under Technical and Educational Research.
5.) VIRUS - Vital Information Resources Under Siege.
6.) UMTS - Universal Mobile Telecommunicati ons System.
7.) AMOLED - Active-matrix organic light-emitting diode.
8.) OLED - Organic light-emitting diode.
9.) IMEI - International Mobile Equipment Identity.
10.) ESN - Electronic Serial Number.
11.) UPS - Uninterruptible power supply.
12. HDMI - High-Definition Multimedia Interface.
13.) VPN - Virtual private network.
14.) APN - Access Point Name.
15.) SIM - Subscriber Identity Module.
16.) LED - Light emitting diode.
17.) DLNA - Digital Living Network Alliance.
18.) RAM - Random access memory.
19.) ROM - Read only memory.
20.) VGA - Video Graphics Array.
21.) QVGA - Quarter Video Graphics Array.
22.) WVGA - Wide video graphics array.
23.) WXGA - Widescreen Extended Graphics Array.
24.) USB - Universal serial Bus.
25.) WLAN - Wireless Local Area Network.
26.) PPI - Pixels Per Inch.
27.) LCD - Liquid Crystal Display.
28.) HSDPA - High speed down-link packet access.
29.) HSUPA - High-Speed Uplink Packet Access.
30.) HSPA - High Speed Packet Access.
31.) GPRS - General Packet Radio Service.
32.) EDGE - Enhanced Data Rates for Globa Evolution.
33.) NFC - Near field communication.
34.) OTG - On-the-go.
35.) S-LCD - Super Liquid Crystal Display.
36.) O.S - Operating system.
37.) SNS - Social network service.
38.) H.S - HOTSPOT.
39.) P.O.I - Point of interest.
40.) GPS - Global Positioning System.
41.) DVD - Digital Video Disk.
42.) DTP - Desk top publishing.
43.) DNSE - Digital natural sound engine.
44.) OVI - Ohio Video Intranet.
45.) CDMA - Code Division Multiple Access.
46.) WCDMA - Wide-band Code Division Multiple Access.
47.) GSM - Global System for Mobile Communications.
48.) WI-FI - Wireless Fidelity.
49.) DIVX - Digital internet video access.
50.) APK - Authenticated public key.
51.) J2ME - Java 2 micro edition.
52.) SIS - Installation
53.) DELL - Digital electronic link library.
54.) ACER - Acquisition Collaboration Experimentation Reflection.
55.) RSS - Really simple syndication.
56.) TFT - Thin Film Transistor
57.) AMR- Adaptive Multi-Rate.
58.) MPEG - moving pictures experts group.
59.) IVRS - Interactive Voice Response System.
60.) HP - Hewlett Packard.
Famous Programming Languages and Their Frameworks
t.me/techpsyche/1967
Best Programming Resources
topmate.io/learning_resources/1362011
Computer Science Free Courses
t.me/techpsyche/546
Passive Income Ideas for Developers
t.me/techpsyche/596
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1.) GOOGLE - Global Organization Of Oriented Group Language Of Earth.
2.) YAHOO - Yet Another Hierarchical Officious Oracle.
3.) WINDOW - Wide Interactive Network Development for Office work Solution.
4.) COMPUTER - Common Oriented Machine Particularly United and used under Technical and Educational Research.
5.) VIRUS - Vital Information Resources Under Siege.
6.) UMTS - Universal Mobile Telecommunicati ons System.
7.) AMOLED - Active-matrix organic light-emitting diode.
8.) OLED - Organic light-emitting diode.
9.) IMEI - International Mobile Equipment Identity.
10.) ESN - Electronic Serial Number.
11.) UPS - Uninterruptible power supply.
12. HDMI - High-Definition Multimedia Interface.
13.) VPN - Virtual private network.
14.) APN - Access Point Name.
15.) SIM - Subscriber Identity Module.
16.) LED - Light emitting diode.
17.) DLNA - Digital Living Network Alliance.
18.) RAM - Random access memory.
19.) ROM - Read only memory.
20.) VGA - Video Graphics Array.
21.) QVGA - Quarter Video Graphics Array.
22.) WVGA - Wide video graphics array.
23.) WXGA - Widescreen Extended Graphics Array.
24.) USB - Universal serial Bus.
25.) WLAN - Wireless Local Area Network.
26.) PPI - Pixels Per Inch.
27.) LCD - Liquid Crystal Display.
28.) HSDPA - High speed down-link packet access.
29.) HSUPA - High-Speed Uplink Packet Access.
30.) HSPA - High Speed Packet Access.
31.) GPRS - General Packet Radio Service.
32.) EDGE - Enhanced Data Rates for Globa Evolution.
33.) NFC - Near field communication.
34.) OTG - On-the-go.
35.) S-LCD - Super Liquid Crystal Display.
36.) O.S - Operating system.
37.) SNS - Social network service.
38.) H.S - HOTSPOT.
39.) P.O.I - Point of interest.
40.) GPS - Global Positioning System.
41.) DVD - Digital Video Disk.
42.) DTP - Desk top publishing.
43.) DNSE - Digital natural sound engine.
44.) OVI - Ohio Video Intranet.
45.) CDMA - Code Division Multiple Access.
46.) WCDMA - Wide-band Code Division Multiple Access.
47.) GSM - Global System for Mobile Communications.
48.) WI-FI - Wireless Fidelity.
49.) DIVX - Digital internet video access.
50.) APK - Authenticated public key.
51.) J2ME - Java 2 micro edition.
52.) SIS - Installation
53.) DELL - Digital electronic link library.
54.) ACER - Acquisition Collaboration Experimentation Reflection.
55.) RSS - Really simple syndication.
56.) TFT - Thin Film Transistor
57.) AMR- Adaptive Multi-Rate.
58.) MPEG - moving pictures experts group.
59.) IVRS - Interactive Voice Response System.
60.) HP - Hewlett Packard.
Famous Programming Languages and Their Frameworks
t.me/techpsyche/1967
Best Programming Resources
topmate.io/learning_resources/1362011
Computer Science Free Courses
t.me/techpsyche/546
Passive Income Ideas for Developers
t.me/techpsyche/596
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Remote Chrome | RemoteChrome.com | Remote Jobs
Remote Chrome
15 Legitimate Work-From-Home Jobs for Beginners (No Experience Required) - Remote Chrome
Finding a reliable remote job can feel overwhelming when you are just starting out. Many online listings demand years of specialized experience or technical
15 Legitimate Work-From-Home Jobs for Beginners (No Experience Required)
List Here: https://remotechrome.com/blog/15-legitimate-work-from-home-jobs-for-beginners-no-experience-required/
List Here: https://remotechrome.com/blog/15-legitimate-work-from-home-jobs-for-beginners-no-experience-required/
Forwarded from Kenya Talent Help | Jobs & Opportunities | Jobs in Kenya | Kenya Jobs | Careers | Job Vacancies Kenya
KenyaTrends.co.ke
The University of British Columbia UBC International Scholars Program for International Students (Fully Funded) - Trends
The University of British Columbia (UBC) International Scholars Program offers prestigious funding packages to high-achieving international students who
๐จFULLY FUNDED SCHOLARSHIP ALERT
๐The University of British Columbia UBC International Scholars Program for International Students (Fully Funded)
Application Details Here ๐
https://kenyatrends.co.ke/opportunities/scholarships/the-university-of-british-columbia-ubc-international-scholars-program-for-international-students-fully-funded/
๐The University of British Columbia UBC International Scholars Program for International Students (Fully Funded)
Application Details Here ๐
https://kenyatrends.co.ke/opportunities/scholarships/the-university-of-british-columbia-ubc-international-scholars-program-for-international-students-fully-funded/
Data Analyst Learning Plan in 2025
|-- Week 1: Introduction to Data Analysis
| |-- Data Analysis Fundamentals
| | |-- What is Data Analysis?
| | |-- Types of Data Analysis
| | |-- Data Analysis Workflow
| |-- Tools and Environment Setup
| | |-- Overview of Tools (Excel, SQL)
| | |-- Installing Necessary Software
| | |-- Setting Up Your Workspace
| |-- First Data Analysis Project
| | |-- Data Collection
| | |-- Data Cleaning
| | |-- Basic Data Exploration
|
|-- Week 2: Data Collection and Cleaning
| |-- Data Collection Methods
| | |-- Primary vs. Secondary Data
| | |-- Web Scraping
| | |-- APIs
| |-- Data Cleaning Techniques
| | |-- Handling Missing Values
| | |-- Data Transformation
| | |-- Data Normalization
| |-- Data Quality
| | |-- Ensuring Data Accuracy
| | |-- Data Integrity
| | |-- Data Validation
|
|-- Week 3: Data Exploration and Visualization
| |-- Exploratory Data Analysis (EDA)
| | |-- Descriptive Statistics
| | |-- Data Distribution
| | |-- Correlation Analysis
| |-- Data Visualization Basics
| | |-- Choosing the Right Chart Type
| | |-- Creating Basic Charts
| | |-- Customizing Visuals
| |-- Advanced Data Visualization
| | |-- Interactive Dashboards
| | |-- Storytelling with Data
| | |-- Data Presentation Techniques
|
|-- Week 4: Statistical Analysis
| |-- Introduction to Statistics
| | |-- Descriptive vs. Inferential Statistics
| | |-- Probability Theory
| |-- Hypothesis Testing
| | |-- Null and Alternative Hypotheses
| | |-- t-tests, Chi-square tests
| | |-- p-values and Significance Levels
| |-- Regression Analysis
| | |-- Simple Linear Regression
| | |-- Multiple Linear Regression
| | |-- Logistic Regression
|
|-- Week 5: SQL for Data Analysis (https://t.me/sqlresourcestp)
| |-- SQL Basics
| | |-- SQL Syntax
| | |-- Select, Insert, Update, Delete
| |-- Advanced SQL
| | |-- Joins and Subqueries
| | |-- Window Functions
| | |-- Stored Procedures
| |-- SQL for Data Analysis
| | |-- Data Aggregation
| | |-- Data Transformation
| | |-- SQL for Reporting
|
|-- Week 6-8: Python for Data Analysis (https://t.me/pythonresourcestp)
| |-- Python Basics
| | |-- Python Syntax
| | |-- Data Types and Structures
| | |-- Functions and Loops
| |-- Data Analysis with Python
| | |-- NumPy for Numerical Data
| | |-- Pandas for Data Manipulation
| | |-- Matplotlib and Seaborn for Visualization
| |-- Advanced Data Analysis in Python
| | |-- Time Series Analysis
| | |-- Machine Learning Basics
| | |-- Data Pipelines
|
|-- Week 9-11: Real-world Applications and Projects (https://t.me/techpsyche)
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Models
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Data Analysis with Excel
| | |-- Data Analysis with R
| | |-- Data Analysis with Tableau/Power BI
|
|-- Week 12: Post-Project Learning
| |-- Data Analysis for Business Intelligence
| | |-- KPI Dashboards
| | |-- Financial Reporting
| | |-- Sales and Marketing Analytics
| |-- Advanced Data Analysis Topics
| | |-- Big Data Technologies
| | |-- Cloud Data Warehousing
| |-- Continuing Education
| | |-- Advanced Data Analysis Techniques
| | |-- Community and Forums
| | |-- Keeping Up with Updates
|-- Resources and Community
| |-- Online Courses (edX, Udemy) (t.me/freecoursescentre)
| |-- Books (topmate.io/learning_resources/1362011)
| |-- Google Data Analytics Free Courses (intercomuniversity.com/free-courses/it-software/data-analytics/3-powerful-free-data-analytics-certification-courses/)
I have curated best Top-Notch Data Analytics Resources ๐๐
topmate.io/learning_resources/1456762
Like this post for more content like this ๐โฅ๏ธ
|-- Week 1: Introduction to Data Analysis
| |-- Data Analysis Fundamentals
| | |-- What is Data Analysis?
| | |-- Types of Data Analysis
| | |-- Data Analysis Workflow
| |-- Tools and Environment Setup
| | |-- Overview of Tools (Excel, SQL)
| | |-- Installing Necessary Software
| | |-- Setting Up Your Workspace
| |-- First Data Analysis Project
| | |-- Data Collection
| | |-- Data Cleaning
| | |-- Basic Data Exploration
|
|-- Week 2: Data Collection and Cleaning
| |-- Data Collection Methods
| | |-- Primary vs. Secondary Data
| | |-- Web Scraping
| | |-- APIs
| |-- Data Cleaning Techniques
| | |-- Handling Missing Values
| | |-- Data Transformation
| | |-- Data Normalization
| |-- Data Quality
| | |-- Ensuring Data Accuracy
| | |-- Data Integrity
| | |-- Data Validation
|
|-- Week 3: Data Exploration and Visualization
| |-- Exploratory Data Analysis (EDA)
| | |-- Descriptive Statistics
| | |-- Data Distribution
| | |-- Correlation Analysis
| |-- Data Visualization Basics
| | |-- Choosing the Right Chart Type
| | |-- Creating Basic Charts
| | |-- Customizing Visuals
| |-- Advanced Data Visualization
| | |-- Interactive Dashboards
| | |-- Storytelling with Data
| | |-- Data Presentation Techniques
|
|-- Week 4: Statistical Analysis
| |-- Introduction to Statistics
| | |-- Descriptive vs. Inferential Statistics
| | |-- Probability Theory
| |-- Hypothesis Testing
| | |-- Null and Alternative Hypotheses
| | |-- t-tests, Chi-square tests
| | |-- p-values and Significance Levels
| |-- Regression Analysis
| | |-- Simple Linear Regression
| | |-- Multiple Linear Regression
| | |-- Logistic Regression
|
|-- Week 5: SQL for Data Analysis (https://t.me/sqlresourcestp)
| |-- SQL Basics
| | |-- SQL Syntax
| | |-- Select, Insert, Update, Delete
| |-- Advanced SQL
| | |-- Joins and Subqueries
| | |-- Window Functions
| | |-- Stored Procedures
| |-- SQL for Data Analysis
| | |-- Data Aggregation
| | |-- Data Transformation
| | |-- SQL for Reporting
|
|-- Week 6-8: Python for Data Analysis (https://t.me/pythonresourcestp)
| |-- Python Basics
| | |-- Python Syntax
| | |-- Data Types and Structures
| | |-- Functions and Loops
| |-- Data Analysis with Python
| | |-- NumPy for Numerical Data
| | |-- Pandas for Data Manipulation
| | |-- Matplotlib and Seaborn for Visualization
| |-- Advanced Data Analysis in Python
| | |-- Time Series Analysis
| | |-- Machine Learning Basics
| | |-- Data Pipelines
|
|-- Week 9-11: Real-world Applications and Projects (https://t.me/techpsyche)
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Models
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Data Analysis with Excel
| | |-- Data Analysis with R
| | |-- Data Analysis with Tableau/Power BI
|
|-- Week 12: Post-Project Learning
| |-- Data Analysis for Business Intelligence
| | |-- KPI Dashboards
| | |-- Financial Reporting
| | |-- Sales and Marketing Analytics
| |-- Advanced Data Analysis Topics
| | |-- Big Data Technologies
| | |-- Cloud Data Warehousing
| |-- Continuing Education
| | |-- Advanced Data Analysis Techniques
| | |-- Community and Forums
| | |-- Keeping Up with Updates
|-- Resources and Community
| |-- Online Courses (edX, Udemy) (t.me/freecoursescentre)
| |-- Books (topmate.io/learning_resources/1362011)
| |-- Google Data Analytics Free Courses (intercomuniversity.com/free-courses/it-software/data-analytics/3-powerful-free-data-analytics-certification-courses/)
I have curated best Top-Notch Data Analytics Resources ๐๐
topmate.io/learning_resources/1456762
Like this post for more content like this ๐โฅ๏ธ
Forwarded from Free Courses: Google | Microsoft | Udemy | Coursera | IBM | NVIDIA | LinkedIn Learning | MIT | Udemy Coupons & PDF Books
Harvard CS50 โ Free Computer Science Course (2023 Edition)
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/
Michigan University Free Courses
https://t.me/freecoursescentre/158
IBM Free Certification Courses
https://intercomuniversity.com/tag/microsoft/
More Resources Here
https://whatsapp.com/channel/0029Vatt3A635fLoJKXrp71G
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/
Michigan University Free Courses
https://t.me/freecoursescentre/158
IBM Free Certification Courses
https://intercomuniversity.com/tag/microsoft/
More Resources Here
https://whatsapp.com/channel/0029Vatt3A635fLoJKXrp71G
๐-----๐
ธ๐
ผ๐
ฟ๏ธ๐
พ๏ธ๐๐๐
ฐ๏ธ๐
ฝ๐----๐
Advertise with us on this Platform Today!
Boost the reach of your Project, Business, Services or Post, Today!
WhatsApp: https://wa.me/254748222486?text=Advertise%20on%20Tech%20Psyche
Telegram: https://t.me/mycontactpoint
If you need us to create Video Adverts or Posters for you, we also offer that.
Advertise with us on this Platform Today!
Boost the reach of your Project, Business, Services or Post, Today!
WhatsApp: https://wa.me/254748222486?text=Advertise%20on%20Tech%20Psyche
Telegram: https://t.me/mycontactpoint
If you need us to create Video Adverts or Posters for you, we also offer that.
INDIA๐ฎ๐ณ Stripe is HiringSoftware Engineer, Intern
๐คOrganization: Stripe
๐Location: Bengaluru, India
How To Apply:
stripe.com/careers/listing/software-engineer-intern/8031833
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t.me/jobsourceglobal
WhatsApp Channel๐
whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
Most problems do not require more effort; they require a better perspective. Stepping back is part of disciplined problem-solving.
๐จโ๐ปHow to protect your Website against potential hacks?๐ณ
An organization can adopt the following policy to protect itself against web server attacks.
๐SQL Injectionโ sanitizing and validating user parameters before submitting them to the database for processing can help reduce the chances of been attacked via SQL Injection. Database engines such as MS SQL Server, MySQL, etc. support parameters, and prepared statements. They are much safer than traditional SQL statements
๐Denial of Service Attack - firewalls can be used to drop traffic from suspicious IP address if the attack is a simple DoS. Proper configuration of networks and Intrusion Detection System can also help reduce the chances of a DoS attack been successful.
๐Cross Site Scripting - validating and sanitizing headers, parameters passed via the URL, form parameters and hidden values can help reduce XSS attacks.
๐Cookie/Session Poisoningโ this can be prevented by encrypting the contents of the cookies, timing out the cookies after some time, associating the cookies with the client IP address that was used to create them.
๐Form tempering โ this can be prevented by validating and verifying the user input before processing it.
๐Code Injection - this can be prevented by treating all parameters as data rather than executable code. Sanitization and Validation can be used to implement this.
๐Defacement โ a good web application development security policy should ensure that it seals the commonly used vulnerabilities to access the web server. This can be a proper configuration of the operating system, web server software, and best security practices when developing web applications.
How to solve CTF: t.me/zerotrusthackers/76
Cyber Security Course for Beginners: udemy.com/course/certified-secure-netizen/
Red Team Free Course: t.me/zerotrusthackers/68
Google Dorks for Information Gathering: t.me/zerotrusthackers/54
WhatsApp Channel:
whatsapp.com/channel/0029VaxVv551iUxRku094918
An organization can adopt the following policy to protect itself against web server attacks.
๐SQL Injectionโ sanitizing and validating user parameters before submitting them to the database for processing can help reduce the chances of been attacked via SQL Injection. Database engines such as MS SQL Server, MySQL, etc. support parameters, and prepared statements. They are much safer than traditional SQL statements
๐Denial of Service Attack - firewalls can be used to drop traffic from suspicious IP address if the attack is a simple DoS. Proper configuration of networks and Intrusion Detection System can also help reduce the chances of a DoS attack been successful.
๐Cross Site Scripting - validating and sanitizing headers, parameters passed via the URL, form parameters and hidden values can help reduce XSS attacks.
๐Cookie/Session Poisoningโ this can be prevented by encrypting the contents of the cookies, timing out the cookies after some time, associating the cookies with the client IP address that was used to create them.
๐Form tempering โ this can be prevented by validating and verifying the user input before processing it.
๐Code Injection - this can be prevented by treating all parameters as data rather than executable code. Sanitization and Validation can be used to implement this.
๐Defacement โ a good web application development security policy should ensure that it seals the commonly used vulnerabilities to access the web server. This can be a proper configuration of the operating system, web server software, and best security practices when developing web applications.
How to solve CTF: t.me/zerotrusthackers/76
Cyber Security Course for Beginners: udemy.com/course/certified-secure-netizen/
Red Team Free Course: t.me/zerotrusthackers/68
Google Dorks for Information Gathering: t.me/zerotrusthackers/54
WhatsApp Channel:
whatsapp.com/channel/0029VaxVv551iUxRku094918