Do you wish to learn data analysis? Here are some free courses you can get started on.
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Power BI vs Excel. What's the real difference in one sentence? 🔘 Power BI just looks nicer 🔘 Power BI connects to live data and updates automatically, Excel mostly doesn't 🔘 They're basically the same thing
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Dear Data Analyst!! You are not competing with AI. You are competing with the analyst who knows how to use AI. Learn the tool. And stay ahead.
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Steps in Data Analysis process: 1. Ask the right question 2. Collect the data 3. Clean the data 4. Analyze the data 5. Visualize the results 6. Share the insight
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Here are 5 Excel functions. Which one removes extra spaces from text? PROPER() TRIM() LEN() LEFT() CONCATENATE()
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Python for Data Analysis is just: • Data Collection (CSV, Excel, APIs, Web Scraping) 
• Data Cleaning (pandas, numpy) 
• Data Analysis (pandas, pivot_table) 
• Data Visualization (matplotlib, seaborn, plotly) 
• Data Automation (Scripts, Loops, Scheduling) That’s it
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Integrate AI into your workflow and stay ahead
Dear Data Analyst!! You are not competing with AI. You are competing with the analyst who knows how to use AI. Learn the tool. And stay ahead.
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Here are Logical functions in EXCEL: IF() IFS() AND() OR() NOT() IFERROR() IFNA() Comment the one you use the most 👇
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Data with Ezekiel on Youtube is a great start 🔥
Always start with Excel🔥
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Here are Aggregate functions in EXCEL: SUM() AVERAGE() COUNT() COUNTA() COUNTIF() COUNTIFS() SUMIF() SUMIFS() AVERAGEIF() MAX() MIN() MEDIAN() Comment your most used one 👇
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Take-home lesson: "Rare people get rare opportunities"
Analyst + Excel Only = Limited Analyst + Excel + SQL = Capable Analyst + Excel + SQL + Power BI = Valuable Analyst + Excel + SQL + Power BI + Python = Rare Analyst + Rare Skills + Portfolio + Network = Highly Paid Rare people get rare opportunities. Keep adding skills.
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Here are SQL keywords every beginner should know: SELECT FROM WHERE GROUP BY ORDER BY JOIN HAVING LIMIT DISTINCT Comment the one you're familiar with👇
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Here are Date functions in EXCEL: TODAY() NOW() DATE() DATEDIF() YEAR() MONTH() DAY() WEEKDAY() NETWORKDAYS() Bookmark/Save for later 🔥
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Keep going, keep pushing, keep building, keep learning, keep applying ❤️
Dear Data Analyst!! Rejection is a data point Analysts do not draw conclusions from one data point Keep applying. Keep iterating And keep building🩷🩷
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New week Dear Data Analysts, Here are things every beginner analyst should do this week: 1. Clean one messy dataset 2. Practice 3 formulas you're unsure about 3. Build one simple chart 4. Write 2 lines explaining what the data says 5. Ask one question in a data community
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The summary of SQL :
SQL is just: - Data Storage (Tables, Schemas, Databases) - Data Cleaning (TRIM, REPLACE, CAST, COALESCE) - Data Retrieval (SELECT, WHERE, ORDER BY, LIMIT) - Data Analysis (GROUP BY, HAVING, JOINS, SUBQUERIES) - Data Automation (Views, Stored Procedures, Triggers) That’s it
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Dear Data Analyst!!! Never Stop Learning❤️
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Our students 🔥🔥🔥
Got something different to clean and work on.. #fypシ゚viral #DataCentres #data #all @DAME_Academy I'm done with the cleaning process and will begin all navigations soon...
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DATA ANALYSIS MADE EASY retweeted
Data Analyst + Critical Thinking na 5&6 oo So I am done cleaning 🧹, Organising, EDAing and realistically bringing our messy data to reality. What do you think guys? The info worked on was about AI model training and contributors earning. @ezekiel_aleke @all
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Here are Excel shortcuts every analyst should know : Ctrl + 1 (Format Cells) Ctrl + Shift + L (Filter) Ctrl + T (Table) Alt + = (AutoSum) Ctrl + Arrow (Jump to end of data) F4 (Repeat last action) Ctrl + Shift + Enter (Array formula) Comment the one you didn't know until now 👇
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DATA ANALYSIS MADE EASY retweeted
Data Cleaning Checklist: - Check for Duplicate - Identify missing values - Correct datatype - Standardize text values - Validate data values - Check for inconsistencies - Check for outliers - Document changes
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