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Destiny ๐Ÿ“Š

Destiny ๐Ÿ“Š

@destinyanalysis

Data & Business Intelligence Analyst ๐Ÿ“Š | Helping brands make data-driven decisions that drives success | Excel โ€ข SQL โ€ข Python โ€ข Power BI โ€ข Tableau | Dataviz

Nigeria ๊ฐ€์ž…์ผ Temmuz 2024
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๊ณ ์ •๋œ ํŠธ์œ—
Destiny ๐Ÿ“Š
Destiny ๐Ÿ“Š@destinyanalysisยท
I recently analyzed ๐Ÿ“Š customer churn data to uncover the real reasons customers leave and what can be done to keep them. In this churn analysis dashboard, I explored:
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Destiny ๐Ÿ“Š
Destiny ๐Ÿ“Š@destinyanalysisยท
๐Ÿ”ฅ
Tips Excel@gudanglifehack

๐Ÿ”ฐ Data Analyst Roadmap 2026 โ”œโ”€โ”€ ๐Ÿ—ƒ Introduction to Data Analysis โ”‚ โ”œโ”€โ”€ Role overview & career paths โ”‚ โ”œโ”€โ”€ Key skills: SQL, Excel, storytelling โ”‚ โ””โ”€โ”€ Tools ecosystem (Colab, Tableau Public) โ”œโ”€โ”€ ๐Ÿ“Š Excel Mastery (Formulas, Pivots) โ”‚ โ”œโ”€โ”€ VLOOKUP, INDEX-MATCH, XLOOKUP โ”‚ โ”œโ”€โ”€ PivotTables, slicers, Power Query โ”‚ โ”œโ”€โ”€ Charts & conditional formatting โ”‚ โ””โ”€โ”€ ETL basics in spreadsheets โ”œโ”€โ”€ ๐Ÿ” SQL for Analytics (Joins, Aggregates) โ”‚ โ”œโ”€โ”€ Advanced SELECT with WHERE, GROUP BY โ”‚ โ”œโ”€โ”€ JOINS (INNER, LEFT, window functions) โ”‚ โ””โ”€โ”€ Performance: indexes, EXPLAIN plans โ”œโ”€โ”€ ๐Ÿ“ˆ Visualization Principles (Charts, Dashboards) โ”‚ โ”œโ”€โ”€ Chart types (bar, line, heatmaps) โ”‚ โ”œโ”€โ”€ Design rules (avoid chart junk) โ”‚ โ””โ”€โ”€ Color theory & accessibility โ”œโ”€โ”€ ๐Ÿ Python Basics (Pandas, NumPy) โ”‚ โ”œโ”€โ”€ DataFrames: load, clean, merge โ”‚ โ”œโ”€โ”€ Grouping, pivoting, NumPy arrays โ”‚ โ””โ”€โ”€ Jupyter notebooks & stats intro โ”œโ”€โ”€ ๐Ÿ”ข Statistics Fundamentals (Averages, Tests) โ”‚ โ”œโ”€โ”€ Descriptive (mean, median, distributions) โ”‚ โ”œโ”€โ”€ Hypothesis testing (t-tests, chi-square) โ”‚ โ””โ”€โ”€ A/B testing & confidence intervals โ”œโ”€โ”€ ๐Ÿ›  Tableau/Power BI Essentials โ”‚ โ”œโ”€โ”€ Tableau: calculated fields, LOD โ”‚ โ”œโ”€โ”€ Power BI: DAX, data modeling โ”‚ โ””โ”€โ”€ Interactive dashboards & storytelling โ”œโ”€โ”€ ๐Ÿค– AI Tools for Insights (Prompts, AutoML) โ”‚ โ”œโ”€โ”€ Prompt engineering for SQL/viz โ”‚ โ”œโ”€โ”€ Tableau Einstein, Power BI Copilot โ”‚ โ””โ”€โ”€ AutoML basics (no-code modeling) โ”œโ”€โ”€ โ˜๏ธ Cloud Platforms (BigQuery Basics) โ”‚ โ”œโ”€โ”€ BigQuery SQL & massive datasets โ”‚ โ”œโ”€โ”€ AWS QuickSight, Snowflake intro โ”‚ โ””โ”€โ”€ Free tier cost optimization โ”œโ”€โ”€ ๐Ÿ“Š Data Storytelling Frameworks โ”‚ โ”œโ”€โ”€ Pyramid Principle for reports โ”‚ โ”œโ”€โ”€ KPI dashboards & executive summaries โ”‚ โ””โ”€โ”€ Narrative structure (context-insight-action) โ”œโ”€โ”€ ๐Ÿ”— ETL Pipelines Intro (dbt, Airflow) โ”‚ โ”œโ”€โ”€ Data transformation with dbt โ”‚ โ”œโ”€โ”€ Orchestration (Airflow basics) โ”‚ โ””โ”€โ”€ No-code: Zapier automation โ”œโ”€โ”€ ๐Ÿ’ผ Portfolio & Interview Prep โ”‚ โ”œโ”€โ”€ 3-5 projects (sales, churn analysis) โ”‚ โ”œโ”€โ”€ Kaggle datasets & GitHub portfolio โ”‚ โ””โ”€โ”€ STAR method, mock interviews โ””โ”€โ”€ ๐Ÿงช Real-world Challenges (Kaggle, Cases) โ”œโ”€โ”€ E-commerce churn prediction โ”œโ”€โ”€ Marketing ROI analysis โ”œโ”€โ”€ Supply chain optimization โ””โ”€โ”€ LeetCode SQL, case studies Like for detailed explanation โค๏ธ

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J.A Olaoye
J.A Olaoye@JA_Olaoyeยท
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Judie๐Ÿค๐Ÿฆ‹
Judie๐Ÿค๐Ÿฆ‹@GabrielJudith6ยท
Day by day, one step at a time ๐Ÿ“Š From messy sales data โ†’ pivot tables โ†’ interactive dashboard Learning Excel + data analysis like a pro ๐Ÿ’ช๐Ÿคญ๐Ÿ˜ #ConsistencyWins #data
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vivian
vivian@vheeorji22ยท
confidence in presenting data is worth more than accuracy in collecting it. learn to present.
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Emmy Jakes
Emmy Jakes@Obiekweemmaยท
What is a Pivot Table mainly used for? A. Formatting cells B. Sorting data C. Summarizing large data D. Writing formulas
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#HYFR
#HYFR@bxns_hyfrยท
@JA_Olaoye Following everyone under the comment section! Letโ€™s build a database of data minds together ๐Ÿ™‚
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J.A Olaoye
J.A Olaoye@JA_Olaoyeยท
If you follow me and I have not followed back signify by ๐Ÿ‘‹ and I will follow back. If we are already mutuals and you have a post others should see, put it here.
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Emmy Jakes
Emmy Jakes@Obiekweemmaยท
Which function adds values based on a condition? A. SUM B. SUMIF C. COUNTIF D. IF
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vivian
vivian@vheeorji22ยท
which formula would you use and why? ๐Ÿ‘‡ scenario: you want to know HOW MANY students scored above 50. is it: A) SUMIF B) COUNTIF C) AVERAGEIF
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vivian
vivian@vheeorji22ยท
the fact that excel is not a mandatory subject in secondary school is a policy failure that is actively costing young people jobs.
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Ezekiel
Ezekiel@ezekiel_alekeยท
If youโ€™re a data analyst or youโ€™re interested in data analysis Say hi in the comment and connect with each other
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Ezekiel
Ezekiel@ezekiel_alekeยท
Everybody loves Excelโค๏ธ
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Destiny ๐Ÿ“Š
Destiny ๐Ÿ“Š@destinyanalysisยท
I started with Python. What tool did you begin your data journey with?
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Destiny ๐Ÿ“Š
Destiny ๐Ÿ“Š@destinyanalysisยท
@vheeorji22 The use of AND signifies both A2 and B2 condition has to meant therefore if A2 is equal or greater than 18 and B2 equals "Yes" then return "eligible" if not return "Not eligible".
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vivian@vheeorji22ยท
what are the Criteria to meet in this Formula ? =IF(AND(A2>=18, B2="Yes"), "Eligible", "Not Eligible"
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Hamza Riaz
Hamza Riaz@hamzaibnriazยท
@destinyanalysis May be i am not starting but! In future we decide better tool. ๐Ÿ‘จโ€๐Ÿ’ป๐Ÿค - letโ€™s connect
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Destiny ๐Ÿ“Š
Destiny ๐Ÿ“Š@destinyanalysisยท
Data analysis sharpens your thinking and improves how you approach problems.
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Destiny ๐Ÿ“Š
Destiny ๐Ÿ“Š@destinyanalysisยท
@joy_Grace8 Google colab uses python as it's programming language...should I say u started with python?
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J.A Olaoye
J.A Olaoye@JA_Olaoyeยท
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