#data #datacoaching #fyp #datascience #dataanalyst

2025/9/23 Edited to

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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
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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) 👩‍

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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

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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
studywithnali

studywithnali

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5 Best YouTube Channels for Python & Data Science
#pythonforbeginners #datasciencetips #learntocode #youtubelearning #techcareers
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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

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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

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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
Yun Jung

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The image displays the title "How to build a strong portfolio? As a Data Analyst" with an illustration of a person presenting documents and various professional items, symbolizing a comprehensive portfolio.
The image features the heading "Select Diverse Projects" with an illustration of documents and a magnifying glass, representing the selection and review of varied data analysis projects for a portfolio.
The image shows the heading "Describe Your Process" alongside an illustration of a scroll with a bar chart and magnifying glass, symbolizing the detailed explanation of data analysis methodology and problem-solving.
Data Analyst and The Portfolio.
to become something that you are passionate about is not as easy as you think. one of my challenges is building my portfolio. I don't know if people will like it but at least you show your effort to the world!! #CareerTips #careeradvice #dataanalytics #businessanalyst #dataa
Lucky Girl 🥰

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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
Yun Jung

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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

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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
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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

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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) 👩‍

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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) 👩‍

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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
Yun Jung

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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
Yun Jung

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4️⃣ mistakes to avoid as a Data Analyst 🤓📊
To all data enthusiasts out there, have you ever come across this? 🤔 #dataanalyst #datascience #dataanalytics #datatechjob #techjobs #CareerTips #careeradvice #careerchange #womenintech #lemon8studying
Lucky Girl 🥰

Lucky Girl 🥰

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Data Analyst VS. Business Analyst
Hey, wanna know the differences between these? 🤔 I've broken it down for you. Check it out! 🤓 If you want to learn more, visit my blog (link in my bio). 🌐 #dataanalyst #businessanalyst #datascience #datatechjob #visualization #trends #insights #dataengineering #studywi
Lucky Girl 🥰

Lucky Girl 🥰

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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
Yun Jung

Yun Jung

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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
Yun Jung

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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

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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

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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
Yun Jung

Yun Jung

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A woman sits at a desk with a computer and laptop, holding a cup, surrounded by office supplies. Text overlays ask for "Advice Only" on "Health Care Technology" and say "Help Me Decide:" for going "#Back To School."
Health information management OR Data Analyst
I made up my mind to go back to school. I narrowed two majors down. Health information Management OR Data Analyst. Health information management I know for a fact I can pass the courses and get a degree. Issue: Finding entry-level work as soon as I graduate. Data Analyst I love the fact
Just Jess

Just Jess

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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

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Data Analytics is in extreme demand
Pivot into high demand job roles in 2025. Link in the bio to start your training. #dataanalytics #techjobs #cybersecurity #2025 #Lemon8Diary
Quanahmichelle

Quanahmichelle

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Two women in red, one labeled 'Data Analyst' and the other 'Data Engineer,' illustrating the career transition. An arrow indicates moving from Data Analyst to Data Engineer, with the text 'Go from...' above them.
A woman in a red outfit points to a laptop displaying 'HARD SKILLS' for a techie, including Programming, Data Engineering Fundamentals, Data pipelines, Data Modelling, Databases/Warehousing, and ETL/ELT.
A woman in a red outfit points to a laptop displaying 'SOFT SKILLS' for a techie, including Communication, Critical Thinking, Business Acumen, and 'And many more'.
From Data Analyst To Data Engineer
Making the leap from Data Analyst to Data Engineer requires more than just technical expertise. While hard skills like SQL, Python, and data architecture are essential, soft skills such as problem-solving, communication, and collaboration are key to designing scalable data solutions. Master b
NeLo

NeLo

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A woman in glasses and a light green hoodie looks at a tablet. An overlay asks, "How to Decide Between a Data Analyst, Data Scientist, and Data Engineer Career?" A computer monitor is visible in the background.
A woman looks at a tablet displaying a LinkedIn article titled "How can you choose between data analyst, engineer, or scientist?" Overlays state, "These Articles will provide clarity on what path to follow:" and "Community and AI Articles by LinkedIn."
A woman looks at a tablet showing an Indeed career guide article titled "Data Analyst Vs Data Scientist Vs Data Engineer: Key Differences." An overlay identifies it as a "Career Guide Article by Indeed."
How to Decide Between a Data Analyst, Data Scient
I love the Al/Linkedin Community articles and I believe it is a good place to get people's perspectives on what these roles can look like by company. I have also listed other sources that include Indeed, Youtube videos by Eureka, (they have amazing videos) and a blog post about data camp. I h
NeLo

NeLo

19 likes

Importance of ETL in Data Analyst Role
Hello everyone! Implementing these SQL tips for ETL processes ensures efficient and reliable data management. Efficient extraction minimizes system load, while robust transformation ensures accuracy. Incremental loading reduces processing time, and error handling improves troubleshooting. Performan
Yun Jung

Yun Jung

20 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

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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
Yun Jung

Yun Jung

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