Automatically translated.View original post

1 follower

Follow

Follow

Follow

1/2

0 saved

Data

https://s.lemon8-app.com/s/GgmMSQbkfr

5/17 Edited to

การได้รับดาต้าฟรีมักเป็นโอกาสทองสำหรับผู้ที่ต้องการประหยัดค่าใช้จ่ายในการใช้งานอินเทอร์เน็ตบนมือถือ ผมเคยใช้วิธีสมัครแพ็กเกจแจกดาต้าที่มีโปรโมชั่นพิเศษจากค่ายมือถือ และพบว่าสามารถเพิ่มเวลาการใช้งานออนไลน์โดยไม่กระทบงบประมาณประจำเดือนของผมเลย ผมแนะนำให้ผู้ที่สนใจตรวจสอบโปรโมชั่นแจกดาต้าของแต่ละค่ายอย่างสม่ำเสมอ และใช้แอปพลิเคชันตรวจสอบปริมาณดาต้าที่เหลืออยู่เพื่อบริหารจัดการการใช้งานได้อย่างเหมาะสม นอกจากนี้ ยังควรหลีกเลี่ยงการใช้ดาต้าในการสตรีมวิดีโอความละเอียดสูงเมื่อไม่มีความจำเป็น เพื่อประหยัดดาต้าให้อยู่ได้นานที่สุด ในทางปฏิบัติ การเชื่อมต่อ Wi-Fi ในพื้นที่ที่มีความปลอดภัยอย่างบ้านหรือที่ทำงานเป็นอีกหนึ่งวิธีที่ช่วยลดการใช้ดาต้าจากเครือข่ายมือถือให้เหลือน้อยลง ทำให้คุณสามารถใช้งานอินเทอร์เน็ตได้ต่อเนื่องและมีประสิทธิภาพมากขึ้น โดยไม่ต้องกังวลเรื่องค่าใช้จ่ายแต่อย่างใด สุดท้าย อย่าลืมตรวจสอบข้อมูลและเงื่อนไขของโปรโมชั่นแจกดาต้าแต่ละรายการให้ชัดเจน เพื่อให้สามารถใช้สิทธิประโยชน์ได้เต็มที่และหลีกเลี่ยงปัญหาในการใช้งานที่อาจเกิดขึ้นได้

Related posts

Data analyst - what to study? 📚

Becoming a data analyst requires mastering a mix of technical, analytical, and communication skills. Here are five essential areas to study: 1. Data Analysis Tools and Software - Excel: Learn advanced features like pivot tables, VLOOKUP, and data visualization. - SQL: Master database querying t

1504 likes

A desk setup with a laptop and monitor displaying a car, featuring the text "BECOME A DATA ANALYST" on the wall, illustrating a data analyst's workspace.

White buildings with blue domes overlooking the sea, overlaid with text listing free courses for learning data analysis tools and programming languages.

White buildings with blue domes overlooking the sea, with text detailing free courses to develop analytical and statistical skills for data analysis.

Data analyst - what to study? 👩‍💻📈

1. Learn Key Data Analysis Tools and Programming Languages • Tip: Master the core tools and languages that data analysts use. Excel, SQL, Python, and R are essential for data manipulation, analysis, and visualization. SQL is particularly important for querying databases, while Python

2548 likes

Impressive LinkedIn Summary for Data Analyst

Hello everyone! I wanted to share tips for creating an impressive LinkedIn summary for data analysts. Start by clearly stating your role and years of experience. Highlight core skills, such as Python, SQL, and Tableau, along with your key achievements and industry expertise. Express your passion fo

47 likes

3 Free Data Courses to Help Boost Your Career

Are you wanting to learn more about data, data science, AI, machine learning, and more? Then, take a look at these free courses. Please remember that the courses may be free, but the certification may not be! On the slides, I have provided the synopsis of each course provided on their website! ✺

803 likes

The best website for data analytics 👩🏻‍💻📊

Tableau software is amazing!! And they have student license that gets you free access for a year. Get a free 1-year license using your school email!! Plus some extra perks like👇🏻 💻 Free access to Tableau Desktop & Tableau Prep 👩🏻‍🏫 Free access to Tableau eLearning 📝 20% off Tableau cert

1531 likes

How to transition into Data Analytics role

Hello everyone! Transitioning into a data analytics role requires a strategic approach and a commitment to learning. Start by assessing your current skills and identifying areas for improvement. Take online courses or enroll in a data analytics bootcamp to gain foundational knowledge in statistical

198 likes

Big Data Analytics techniques for Data Analysts

Hello everyone! I wanted to share why strategic steps in big data analytics are essential for extracting valuable insights. Comprehensive data collection ensures a complete dataset, while effectively cleaning and preprocessing data enhances accuracy. Moreover, advanced analytics techniques like mac

14 likes

A cozy desk setup with a laptop, open book, candles, and flowers, featuring the title 'MY FAVORITE FREE COURSES FOR DATA SCIENCE' in prominent white text. The image has a warm, inviting ambiance.

A pink pop-up window details the IBM: Python for Data Science, AI & Development course, highlighting learning Python logic, libraries like Pandas & Numpy, and earning a LinkedIn certificate upon completion.

A pink pop-up window describes FreeCodeCamp, recommending it for coding beginners due to its extensive resources like videos and articles that explain concepts in depth without using jargon.

my favorite FREE courses for data science 📈✨📚

I've been thinking of entering the data science field for some time, and especially in today's job market, it’s really helpful to have something that sets you apart from everyone else. Even if you're just thinking, these courses will give you an taste of what it’s like to study and work

380 likes

ANALYZE DATA - EXCEL TOOL

Excel's Analyze Data Tool is a game-changer, simplifying the way you work with data. Say goodbye to the days of laboriously creating tables and charts and struggling with formatting intricacies. This tool automates the process, making data analysis and visualization effortless. With just a f

252 likes

A person on a balcony overlooking a scenic coastal town with white buildings and blue domes, with text overlay "DATA SCIENTIST What to study" and "AVERAGE SALARY - $140000".

Text overlay titled "1. Programming and Data Manipulation" listing Python, R, SQL, and Big Data Tools, set against a background of a modern balcony overlooking a coastal town.

Text overlay titled "2. Statistics and Mathematics" listing Linear Algebra, Probability and Statistics, and Calculus, set against a background of a coastal town with white buildings and the sea.

What to study to become a data scientist 🧑‍💻

1. Programming and Data Manipulation - Python: Learn libraries like Pandas, NumPy, and Scikit-learn for data manipulation and modeling. - R: Explore statistical analysis and visualization packages like ggplot2 and caret. - SQL: Master querying, managing, and manipulating structured data in relat

193 likes

A woman in a green hoodie points upwards, with text overlaying the image that reads 'FREE Power BI/Tableau Courses For Aspiring Data Analysts In 2025'. A white board with 'Dream Big' is behind her.

A woman sits on a white bench with a laptop, while text boxes list courses: 'Learn Tableau Desktop for Accurate Business Analysis Course By Udemy', 'Analyzing and Visualizing Data with Power BI by Edx', and 'Data Visualization in Tableau By Udacity'.

A woman sits on a white bench with a laptop, with text boxes listing courses: 'Power BI Report Development By Coursera', 'Tableau.Com Training Videos', and 'Create a Dashboard in Power BI by Udemy'.

Power BI/Tableau Courses For Aspiring Data Analyst

Power BI and Tableau might be a niche you’ll want to consider specializing in for 2025. To help you get started, I’ve put together a list of courses you can check out: ✨Power BI Report Development – Learn to build professional reports on Coursera. ✨ Tableau.com Training Videos – Master Tableau

73 likes

Why use SQL/Python for Data Analysis, (not excel?)

Hello everyone! SQL and Python are favored over Excel for data analysis due to their efficiency with large datasets and automation capabilities. Python, using libraries like Pandas, ensures reproducible workflows, while SQL handles complex data manipulations with ease in relational databases. Pytho

90 likes

Useful Python libraries for Data Analysts

Hello everyone! I wanted to highlight key Python libraries for data analysts that I find very useful! To start with, Pandas library excels in data manipulation with DataFrames and Series. NumPy supports efficient handling of large arrays and mathematical operations. Matplotlib offers versatile plot

62 likes

A black background with white text reads "6 STEPS TO GETTING STARTED WITH DATA ENTRY JOBS (Beginner-Friendly)" with starbursts and an arrow, indicating a guide.

A person types on a laptop, with text overlay "STEP 1: Understand What It Is" defining data entry as typing info into documents, requiring basic computer skills.

DATA ENTRY JOBS: Step-by-Step for Beginners 💻

✨ONLINE SIDE HUSTLE NUMBER 5✨ Here’s a simple, beginner-friendly, step-by-step breakdown for getting started with Data Entry Jobs: Step 1: Understand What It Is Step 2: Set Up Your Tools Step 3: Create a Simple Resume Step 4: Find Entry-Level Gigs on Trusted Platforms Step 5: Avoid Sc

1336 likes

From Data Newbie to Data Ninja 🥷

Wanna know a secret? The path to data science isn't always paved with degrees. It's more like a Choose Your Own Adventure book, but way cooler! 📚✨ Think you need to be a math prodigy or coding genius to play with big data? Nope. What you really need is curiosity, persistence, and a dash

32 likes

Using Cloud Computing as a Data Analyst

Hello everyone! I wanted to share some insights about cloud computing, which involves delivering computing services such as storage, processing, and networking via the internet. This allows remote access and management of data and applications. Real-life examples include Google Drive for cloud stor

19 likes

Data Analyst vs Business Analyst - The difference

Hello everyone! I often get questions on the difference between data analyst vs business analyst so wanted to share about the differences! While both involve working with data, a Data Analyst focuses on interpreting and analyzing data to provide insights, while a Business Analyst interprets those i

175 likes

Skills you need as a Data Scientist

If you're new here...hi! I'm a data scientist at a tech company & I regularly share tips about how to learn Data Science skills and what it's like being a Data Scientist. Here are 2 skills you will definitely need if you're considering applying for Data Science roles: 1) S

79 likes

Data Analysts Career Guide: SQL Query Optimization

Hello everyone! I wanted to share tips for optimizing SQL query performance. Using indexes effectively on key columns and selecting specific columns can speed up data retrieval. Additionally, minimizing nested queries and optimizing join operations enhances efficiency. Moreover, limiting unnecessar

15 likes

A top-down view of a desk with a laptop, coffee, and a hand holding a stylus. Text reads "LANDING YOUR FIRST DATA ANALYST ROLE" and "SWIPE", indicating an article about career advice for data analysts.

A laptop screen displays tips 1-3 for landing a data analyst role: building skills, creating a portfolio, and networking. Illustrations of data analysis tools and a network of people are visible.

A notebook with a pen and text outlining tips 4-5: tailoring resumes and preparing for interviews. Graphics show a resume template and two people discussing, representing job application and interview preparation.

5 tips to land you your first data analyst job

Hello everyone! I wanted to share some tips on how I’ve landed my first role as a data analyst. Each step was very critical and will take time to prepare! But having this outline will make sure you are prepared to apply for your first data analyst role! Feel free to ask me any questions :) #lemo

38 likes

A laptop displaying data dashboards with charts and graphs, including 'Daily Signups' and 'Affiliates Sales'. Overlay text reads 'TIPS FOR DATA ANALYSTS WHAT IS KPI? (KEY PERFORMANCE INDICATOR) Learn why it's important!' with 'SWIPE' indicating more content.

A person's hand points to a document with data tables and charts. Overlay text defines KPI as 'Key Performance Indicator: Measurable values that gauge how effectively an organization is meeting its key business goals.'

A laptop screen shows 'KPI EXAMPLES' with lists for 'SALES' (e.g., Monthly Sales Growth, Customer Retention Rate) and 'MARKETING' (e.g., Website Traffic, Conversion Rate, Social Media Engagement).

KPI: why you MUST know this as a data analyst

Hello everyone! KPI stands for Key Performance Indicator for measuring progress toward organizational goals. Whether in business, education, or personal development, KPIs provide clarity and direction. They can range from financial metrics like revenue growth to operational metrics such as customer

31 likes

Why analysts should use Python for Data Processing

Hello Data Analysts! I wanted to highlight Python's efficiency in data cleaning and preprocessing. Python libraries like Pandas and NumPy offer methods to handle missing data, transform data types, and encode categorical variables like one-hot encoding. Tools such as drop_duplicates() ensure da

43 likes

Data Analyst in Finance,Healthcare,Tech

Hello everyone! Data analysts play a crucial role in various industries, from finance and healthcare to technology and more! In finance, they analyze market trends and investment strategies. In healthcare, they mine patient data to improve outcomes and optimize operations. In tech, they provide ins

200 likes

Understanding data governance as a data analyst

Hello everyone! I wanted to stress the importance of effective data governance. Clear roles and responsibilities in data management ensure accountability and oversight. Robust data quality assurance processes provide reliable data for decision-making and reduce operational risks. Privacy and securi

16 likes

A laptop displaying code, with the title 'SKILLS NEEDED FOR DATA SCIENTISTS' in pink and white text, and 'SWIPE' with an arrow. It serves as the cover for a post about data science careers.

A laptop screen showing code, overlaid with a purple box listing key data scientist skills: statistical analysis, programming skills (Python, R, SQL), and machine learning algorithms and techniques.

A desk with a laptop, keyboard, plant, and coffee cup, featuring a brown box listing additional data scientist skills: collaboration, data visualization, and big data technologies (Hadoop, Spark, Flink).

Skills needed for Data Scientists

Hello everyone! Data science is a dynamic field that requires a diverse skill set. Proficiency in programming languages like Python and R is essential for data manipulation and analysis. Strong statistical knowledge and the ability to interpret data insights are also crucial. Familiarity with machi

37 likes

Data Analyst Tips: data collection best pratices

Hello everyone! Implementing data collection best practices ensures accuracy, reliability, and integrity. Clear objectives and standardized methods prevent errors, while validation minimizes inaccuracies. Consistency allows for easy data integration, and security measures protect sensitive informat

16 likes

A laptop screen displays data analytics graphs and charts, with text overlayed: 'Data Cleaning Techniques for analysts'. A yellow cartoon character with a lightbulb head and a 'Swipe' arrow are also visible, introducing the topic.

A laptop screen shows code, alongside a camera lens. Text describes data cleaning techniques: 'Data Profiling', 'Handling Missing Data', and 'Standardization', detailing how to analyze, manage missing values, and ensure consistency.

A light-colored desk with a partial view of a laptop. Text outlines further data cleaning techniques: 'Outlier Detection and Treatment', 'Correcting Data Entry Errors', and 'Data Type Conversion', explaining how to identify outliers, fix errors, and convert data types.

Data Cleaning Techniques for Data Analysts

Hello everyone! I wanted to share essential practices for ensuring data quality. Data profiling analyzes datasets for structure and completeness before cleaning. Effective handling of missing data uses strategies like imputation or deletion. Standardization ensures consistency across formats and un

25 likes

Different paths for data analysts

Hello everyone! I think one of the merits of being a data analyst is that there are many different paths you can pursue! Data Analysts can specialize in different areas such as business intelligence, machine learning, or data visualization, allowing for diverse career trajectories and opportunities

175 likes

Useful advanced SQL Queries for data analysts

Hello everyone! I wanted to highlight powerful SQL features that are helpful for data analysts! Common Table Expressions (CTEs) act as named temporary result sets within queries, simplifying complex logic with recursive operations or data aggregation. Window Functions enhance analytical capabilitie

33 likes

A career guide for Big Data Analytics in Marketing, showing a desk with a computer, tablet, and smartphone displaying an online shop interface, emphasizing digital commerce and data analysis.

Details for Content Marketing Manager and Digital Marketing Manager roles, including job descriptions, top skills like SEO and copywriting, and average salaries, set against a background of various cameras.

Information for a Marketing Data Analyst role, outlining responsibilities in data analysis, key skills such as SQL and Google Analytics, and average salary, displayed over a smartphone screen.

Top 3 Roles in Big Data Analytics for Marketing

Hello everyone! I wanted to share the top three roles in Big Data Analytics for marketing. Content Marketing Managers, Digital Marketing Managers, and Marketing Data Analysts are crucial in leveraging data to drive marketing success. These roles focus on analyzing data to uncover insights that shap

16 likes

A collage of data-related stickers and cards, with the prominent text "DATA ANALYSIS MISTAKES TO AVOID" and "SWIPE" indicating a multi-page post. It features elements like "DATA > OPINION" and "jupyter."

Text overlaying a white and mint green keyboard, listing the first three data analysis mistakes: Ignoring Data Quality, Lack of Clear Objectives, and Overfitting Models, under the title "DATA ANALYSIS MISTAKES TO AVOID."

Text overlaying a business chart with graphs and a pie chart, detailing data analysis mistakes 4, 5, and 6: Confirmation Bias, Not Exploring Alternatives, and Misinterpreting Correlation.

Data Analysis - Mistakes to Avoid

Hello everyone! When delving into data analysis, watch out for common mistakes like overlooking data quality or misinterpreting results. It's crucial to communicate findings clearly and double-check processes for accuracy. By avoiding these mistakes, you can ensure reliable insights that drive

35 likes

A data storytelling guide displaying 10 chart types: Bar, Line, Pie, Scatter Plot, Histogram, Radar, Map, Heatmap, Bubble, and Donut. Each chart includes an icon, its name, when to use it, and an example use case for effective data visualization.

Master Data Storytelling: 10 Key Charts 🔑ℹ️⬇️

Unlock the power of data storytelling with these essential charts. Each one helps you visualize and communicate your data effectively, making your insights clear and impactful. From bar charts to donut charts, learn when and how to use each type to enhance your data presentations and drive better d

8 likes

5 Best YouTube Channels for Python & Data Science

#pythonforbeginners #datasciencetips #learntocode #youtubelearning #techcareers

110 likes

Steps To Create Your Data Portfolio

Building a strong data portfolio is essential to showcase your skills and attract opportunities. Here’s a step-by-step guide to get you started: 1️⃣ Pick an Industry of Interest – Choose a field you’re passionate about, whether it’s healthcare, finance, or marketing. This will keep you engaged t

10 likes

LEARN HOW TO BUILD YOUR FIRST DATA PROJECT

If you’re ready to build your first data project, here are four verified simple steps to get you started: 1️⃣ Pick an industry you’re interested in. 2️⃣ Identify the skills you want to showcase. 3️⃣ Find a relevant dataset. 4️⃣ Solve the problem and demonstrate your expertise! It’s your time t

51 likes

Data Analyst - Start a career today

1. Master Essential Tools and Skills - Why It’s Crucial: Employers prioritize technical proficiency for handling and visualizing data. - Focus Areas: - Excel: For basic data analysis and pivot tables. - SQL: To query and manage large datasets (a must-have skill). - Python/

218 likes

See more