Automatically translated.View original post

Want to work on the data analysis line. Must know this program, ep.1👀

📊 today, we will review a book for people who want to work on the Data Scientist or Data Science line that focuses on data analysis or user statistics to develop enterprise systems. This book is called "Google Analytics Stats and Analyzes Web + Apps." 📈📉

📂 is another book that answers both working and college students. As everyone knows, today's program skills, if anyone knows more, are even more in demand for the labor market. The more someone has a Data background or understands the use of Analytics tools, the more job opportunities. 📁🗂️

Within the volume will be the application of data, statistics and analytics to develop systems along with planning, how to be more effective and efficient. Suitable for people who want to start learning the Data Line or want to UpSkillSkillGet 🔥 yourself in the future.

📌 For anyone who is interested in moving jobs late to Data or wants to increase their data analytics skills, this book is very problematic for those who do not have a background in programming 👩🏻‍💻.

👋🏻 for further enquiries at the Science Library, Dr. Tan Lop, 🙏🏻

_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

📞 Tel.: 0 2201 7250 against 55 or 56

🔴 E-mail: info@dss.go.th

🟢 Line: @ ids.dss

Facebook 🔵: sciencemate

# Review with lemon8

# Program

# Book Review for DataScientist Career

# GoogleAnalytics

# sciencemate

5/12 Edited to

... Read moreจากประสบการณ์ส่วนตัวที่ได้ใช้งาน Google Analytics ในการเก็บข้อมูลและวิเคราะห์พฤติกรรมผู้ใช้งานเว็บไซต์และแอปพลิเคชัน ผมพบว่าเครื่องมือนี้ช่วยให้เข้าใจการเข้าถึงเว็บไซต์และการใช้งานของลูกค้าได้อย่างละเอียด ไม่ว่าจะเป็นจำนวนผู้เข้าชม ช่องทางที่มาของทราฟฟิก หรือพฤติกรรมของผู้ใช้แต่ละกลุ่ม ทั้งนี้ Google Analytics ยังสามารถช่วยวัดผลแคมเปญโฆษณาออนไลน์และปรับแต่งเว็บไซต์ให้ตอบโจทย์กลุ่มเป้าหมายได้ดียิ่งขึ้น โดยเฉพาะผู้เริ่มต้นที่อยากเข้าสู่อาชีพ Data Scientist หรือสาย Data Science การทำความเข้าใจเครื่องมือนี้จะเพิ่มโอกาสในตลาดแรงงานที่กำลังเติบโตอย่างรวดเร็ว อีกทั้งยังช่วยเสริมทักษะพื้นฐานด้านการวิเคราะห์ข้อมูล ที่จำเป็นต่อการบริหารจัดการข้อมูลให้เกิดประสิทธิภาพ สิ่งที่อยากเสริมคือ การเริ่มต้นทำความเข้าใจพื้นฐานของ Google Analytics ที่จัดเก็บข้อมูลได้อย่างครบถ้วนและลึกซึ้ง เช่น การใช้ Google Tag Manager เพื่อบริหารจัดการแท็ก และการทำ Custom Report เพื่อรายงานข้อมูลตามต้องการ รวมถึงการวิเคราะห์พฤติกรรมของผู้ชมในรายละเอียด เช่น ข้อมูลประชากร กลุ่มเป้าหมาย และการวัดผลความสำเร็จของแคมเปญโฆษณา ถือเป็นพื้นฐานสำคัญที่ช่วยให้พัฒนาระบบทำงานได้อย่างมืออาชีพ แนะนำให้ลองฝึกใช้ Google Analytics กับเว็บไซต์หรือแอปพลิเคชันเล็กๆ เพื่อเรียนรู้การเก็บข้อมูลและวิเคราะห์จริงก่อนจะขยับไปใช้เครื่องมือระดับองค์กรอย่าง Google Analytics 360 Suite ที่ให้ฟีเจอร์มากขึ้น สำหรับผู้ที่กำลังมองหาแหล่งเรียนรู้หนังสือและคอร์สออนไลน์เกี่ยวกับการวิเคราะห์ข้อมูลและการใช้ Google Analytics ก็นับว่าเป็นทรัพยากรที่ดีมากสำหรับการเริ่มต้นและพัฒนาตัวเองในสายงานนี้ครับ

Related posts

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
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

2548 likes

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
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

1504 likes

A tablet on a desk with app icons and text overlays like 'MATH HACK A must know website' and 'CALCULUS', 'STATISTICS', 'ALGEBRA', suggesting a math study tool.
A tablet displaying the WolframAlpha website, with text explaining it provides solutions and step-by-step explanations for equations.
The WolframAlpha website on a tablet, showing examples of step-by-step solutions for various math topics like arithmetic, algebra, geometry, and statistics.
A must know website to help with Math assignments✨
If you’re like me and always struggle with math, I recommend using this website to spend a bit extra time understanding the assignment. I like the fact that not only does it give you the solution, it also gives you a step by step explanation. con: paid version the only con I have is that they
Byaombe •••

Byaombe •••

2109 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! ✺
Itsleilahclaire

Itsleilahclaire

803 likes

A woman's face with three color swatches drawn over it, illustrating the title "HOW TO DO A COLOR ANALYSIS Using Chat GPT."
A woman's face, accompanied by instructions to take a clear photo with good lighting, either with or without makeup.
A woman's face within a screenshot frame, with text instructing to screenshot the selfie and go to the "draw" section.
DIY COLOR ANALYSIS using ChatGPT
Let me know if you try this or have any questions🖤 🌟This has helped me choose which colors to wear for clothes and makeup 🌟The results are so accurate and worth giving a try 🌟I have done it both with and without makeup on so I know what to wear/use depending on if I get ready or not #colorana
Eleni Patsalis

Eleni Patsalis

7294 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
may

may

380 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
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

193 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
Yun Jung

Yun Jung

47 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
Peyton’s Place

Peyton’s Place

252 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
Dominica Amauri

Dominica Amauri

32 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
Yun Jung

Yun Jung

175 likes

This page outlines essential nursing content including PIH, RACE acronym, key lab values (Na, K, Cl, HCO3), fluid dynamics (diffusion, osmosis, intake/output), medication administration (Kayexalate), fluid types, acid-base balance, epidural/spinal procedures, surgical precautions, post-op fever causes, autonomic nervous system, lumbar puncture, arteriogram, and CAT/CT scan details.
This page covers MRI considerations, hemodynamic parameters (PCWP, CVP, ICP) and conditions increasing ICP. It details neurological disorders like Meningitis, Encephalitis, CVA (types, symptoms, hemiplagia), TIA, Parkinson's disease, Multiple Sclerosis, and Myasthenia Gravis, including their symptoms, diagnostic tests, and treatments.
This page details Myasthenia and Cholinergic crises, Trigeminal Neuralgia, Bell's Palsy, Guillian Barre Syndrome, and Amyotrophic Lateral Sclerosis. It extensively covers Spinal Cord Injuries (SCI) by level, spinal shock, autonomic dysreflexia, and immobilization techniques like halo traction. Eye conditions such as Cataracts and Chronic Glaucoma are also discussed.
📝 Must-Know Content Review for NCLEX 📚✨
Struggling to keep track of all the must-know nursing content? Don’t stress—I’ve got you! I created a PDF packed with essential content you NEED to review for nursing school and the NCLEX. 🎉 This guide covers: ✅ High-yield topics for exams and boards. ✅ Simplified explanations to help you unde
Nurse Radiance

Nurse Radiance

257 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/
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

218 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
NeLo

NeLo

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
Yun Jung

Yun Jung

90 likes

A woman sits at a wooden table with a laptop, a drink beside her, in an indoor setting with a pool table in the background. Overlay text reads 'Learn python for Data Science' and 'DATA WITS'.
A woman smiles at the camera while sitting at a wooden table with a laptop. Overlay text prompts to 'Research why Python is the go-to' and 'Review beginner-friendly Python resources'.
A woman looks at her laptop while sitting at a wooden table in an indoor setting. Overlay text instructs to 'Learn how to use Python to solve common data analysis prompts'.
Career Tips: Data Science Languages
As you consider data science as a future career, it is important you are aware of a key technical skill - Python - that you need in order to be successful in this potential career. I find that researching the background of why Python is an important skill will help you get the context you need to b
Serena | Data

Serena | Data

1 like

A woman with light brown hair on a background of golden and olive green eyeshadow, with text 'SOFT AUTUMN the ultimate guide' on a torn paper overlay.
A Soft Autumn seasonal color guide displaying metallic swatches, gemstone images like peridot and rose quartz, and material swatches, with text describing suitable textures and finishes.
A Soft Autumn seasonal color guide featuring aesthetic images like an autumn landscape and seashell, detailing color characteristics (soft, muted, warm) and sister palettes for cooler and warmer tones.
Soft Autumn Color Analysis Guide
danella🪽

danella🪽

84 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
Yun Jung

Yun Jung

62 likes

Trying to get into data analytics: Beginner Data A
Trying to Get Into Data Analytics? Here are a few beginner skills to get you started: ✨ SQL – Essential for querying and managing data. ✨ Excel – A classic tool for data cleaning and analysis. ✨ Power BI/Tableau – Visualize your data like a pro. ✨ Business & Domain Knowledge – Understa
NeLo

NeLo

73 likes

A comprehensive guide titled 'Dosage Calculation' detailing various medication calculation methods. It includes sections on conversions, rounding rules, liquid dosages, injection dosages, dimensional analysis for tablets, weight-based dosages, IV flow rate with a pump, and manual IV infusions, each with example problems and solutions.
Dosage Calculation - Dimensional Analysis
Dosage calculations aren’t optional—they’re essential. Medication errors remain one of the most common issues in healthcare, and strong calculation skills are key to preventing them. That’s why mastering measurement conversions and dimensional analysis is non-negotiable for nursing students. Most
Student Nursing Essentials

Student Nursing Essentials

1254 likes

A desk setup with a laptop, lamp, and plant, featuring text overlay "DATA ANALYST 5 essential tools." A black cat sticker is on the laptop screen. This image serves as the title card for a list of data analysis tools.
A list detailing the first three essential data analyst tools: SQL, Excel, and Python. Each tool includes its purpose, a course recommendation, and platform, set against a background of white buildings with blue accents.
A list detailing the remaining two essential data analyst tools: Tableau and Power BI. Each tool includes its purpose, a course recommendation, and platform, set against a background of white buildings with blue domes.
Top five tools every data analyst should master
1. SQL 🐘 - Why: SQL is the backbone of data querying, helping you extract, manipulate, and analyze data directly from databases. It's fundamental for any data analysis workflow. - Course: SQL Fundamentals - Platform: DataCamp 2. Excel 📈 - Why: Excel is still invalua
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

132 likes

Dimensional Analysis Notes
Writing helps me visualize answers when I take exams. #conversation #math #nursingschool
Regina Smith

Regina Smith

14 likes

A black and white image of a woman in a black dress, with text overlay announcing "Body Shape Do's and Don'ts You Need to Know Part 1: Rectangle Body Shape."
An illustration of a female silhouette within a yellow rectangle, detailing the features of a rectangle body shape: near equal shoulders/hips, straight waistline, and an 'H' shape.
A collage of six tops, showing "Do's" (Wrap Top, Peplum Top, Cropped Knit Top) and "Don'ts" (Boxy T-shirt, Boyfriend Shirt, Straight Neckline) for rectangle body shapes.
Get FREE body shape analysis👗
Download the Looksky app (link in bi0!)❤ #RectangleBodyShape #tips #bodyshape #glowuptips #lookskyapp
celebstyleglow

celebstyleglow

71 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
Yun Jung

Yun Jung

31 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
Yun Jung

Yun Jung

14 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
Yun Jung

Yun Jung

35 likes

A close-up of a woman's face with curly hair, highlighting areas for DIY color analysis: hair, eye, skin, and lip color, with text overlay "DIY color analysis USING AI."
A screenshot of a color selection interface showing RGB sliders and a hex code, demonstrating how to use a dropper tool to identify specific color values for personal features.
A chat conversation with an AI, where the user provides hex codes for their hair, eyes, skin, and lips, and the AI identifies their personal color palette as "Autumn."
DIY color analysis using AI
I have been wanting to know my color analysis for years! I finally found this way to analyze your colors yourself (for free!). 💸 Take a picture of yourself in natural lighting, I used my canon g7x mark ii to take this picture outside. Make sure you leave it unfiltered! Using the “markup” tool on
Beth

Beth

302 likes

Benford’s Law - apply critical analysis!
🤔 #customerexperience #keynotespeaker #josephmichelli #leadership #growth St. Petersburg
Joseph Michelli

Joseph Michelli

0 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
Yun Jung

Yun Jung

37 likes

A silver laptop with an Apple logo on a dark wooden surface, displaying the title 'PART 2 Marketing interview questions you HAVE to know the answer to'. The Lemon8 logo and username are at the bottom left.
A silver laptop with an Apple logo on a dark wooden surface, with a charging cable. The text '1. How do you measure the success of a marketing campaign?' is overlaid. The Lemon8 logo and username are at the bottom left.
An open silver laptop on a dark wooden surface, showing the keyboard and part of the screen. The text '2. Can you give examples of how you've used data to drive marketing decisions?' is overlaid. The Lemon8 logo and username are at the bottom left.
Marketing interview Q’s you MUST know the answer
Q: How do you measure the success of a marketing campaign? Tip: Talk about key performance indicators (KPIs) such as ROI, conversion rates, and engagement metrics. Q: How do you approach creating a marketing strategy for a new product? Tip: Describe your process for research, target audience a
Jane 🦧

Jane 🦧

6 likes

Business Analysis Certification for your career
Hello everyone! Obtaining a business analysis certification can boost your career prospects and credibility in the field. Certifications like the Certified Business Analysis Professional (CBAP) helps to validate your expertise and demonstrate your commitment to professional development. Through com
Yun Jung

Yun Jung

100 likes

Get a Korean COLOR ANALYSIS done
🎨🙌 FINALLYYYY getting a Korean color analysis studio in #la 😩 gotta glow up for summer 📍iColorMe #la #thingstodo #korean #coloranalysis
Jen Z🌴 LA Recs

Jen Z🌴 LA Recs

2368 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
NeLo

NeLo

10 likes

Program Manager vs Product Manager Guide
Program Manager vs Product Manager Explained Simply Roles in tech can get confusing fast. Titles sound similar, teams overlap, and everyone uses the same letters. PM can mean Program Manager or Product Manager, and the work could not be more different. Understanding the difference he
fig3lvls

fig3lvls

23 likes

Machine Learning Interview: Time Series Analysis
What’s up everyone! A lot of my students of mine have mentioned encountering Time Series-related questions during FAANG interviews. So, I’ve put together some key concepts and common interview questions to help you all out. Hope this can be useful for everyone! 🙌 #softwaredeveloper #machinele
Sr Google Tech Lead

Sr Google Tech Lead

2 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
Yun Jung

Yun Jung

43 likes

Must-try AI Prompt for confusing relationships 💔📊
Are you staying because you're in love, or because of the Sunk Cost Fallacy? 🤔 If you are feeling drained, confused, or losing yourself, stop asking your friends. They are biased. Ask AI. It’s cold, rational, and brutally honest. I created a "Relationship ROI" Prompt based on Gary Bec
Emily | Mindset & Growth

Emily | Mindset & Growth

36 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
RoadToRiches

RoadToRiches

8 likes

See more