Souare Bangaly Abubakar
@sowareb
Science Laboratory technologist | Data analyst | Occupational Health & safety Expert | Supply Chains & Logistics Supervisor | Excavator Operator
ID: 917736858418806784
10-10-2017 13:01:32
2,2K Tweet
118 Followers
156 Following
For those who have reached out to me for when Iโd be organizing my next training, Iโm not sure itโll be anytime soon. I highly recommend Nte Daniel Daniel || CX Analytics Engineer actually. He is definitely one of the best. Heโs so good that, of all places in the world, the only place I go to check for
๐ช๐ฒโ๐ฟ๐ฒ ๐ธ๐ถ๐ฐ๐ธ๐ถ๐ป๐ด ๐ผ๐ณ๐ณ ๐๐ต๐ถ๐ ๐๐ฒ๐ฒ๐ธ๐ฒ๐ป๐ฑ. Data with Danny - Cohort 8 starts Friday, January 30th. If youโve been thinking about it, nowโs the time to decide. This is your last chance to join a structured 4-month program that takes you from complete beginner to
Ever noticed people whose Barakah just keeps flowing? Theyโre not always the smartest. But: โ They complain less โ Their hearts are easily content โ Theyโre not envious when others rise โ They help sincerely, without keeping score โ Theyโre neither stingy nor dependent on
๐ฌ๐ผ๐๐ฟ ๐ฑ๐ฎ๐๐ต๐ฏ๐ผ๐ฎ๐ฟ๐ฑ ๐ต๐ฎ๐ ๐ฐ๐ณ โ๐๐ฃ๐๐.โ Your CEO looks at it for 8 seconds and closes the tab. Why? Because you donโt understand the difference between a KPI and a metric. Let me fix that. Picture this: Youโre driving a car. The dashboard shows speed, fuel level,
SQL FOR DATA ANALYTICS (Beginner โ Querying Data) Goal: Extract data from databases confidently. Phase 1: SQL Basics โขWhat is SQL? โขDatabases & tables โขSELECT statement โขWHERE clause โขORDER BY โขLIMIT Phase 2: Filtering & Aggregation โขCOUNT, SUM, AVG, MIN, MAX โขGROUP
๐๐ผ๐ต๐ผ๐ฟ๐ ๐ด ๐ท๐๐๐ ๐ธ๐ถ๐ฐ๐ธ๐ฒ๐ฑ ๐ผ๐ณ๐ณ. Today, a new group of students started their journey from complete beginners to job-ready data analysts. 4 months from now, theyโll have: โ Built 8+ real portfolio projects โ Mastered Excel, SQL, Python, Power BI, and Statistics
๐๐ผ๐ผ๐ฑ ๐บ๐ผ๐ฟ๐ป๐ถ๐ป๐ด, ๐ฒ๐๐ฒ๐ฟ๐๐ผ๐ป๐ฒ We just wrapped up our Excel project presentations with Cohort 7. Students were grouped to work on real-world Excel projects. But this wasnโt just about formulas and charts. It was about building the skills that actually matter in the
๐๐ผ๐ต๐ผ๐ฟ๐ ๐ด ๐ธ๐ถ๐ฐ๐ธ๐ฒ๐ฑ ๐ผ๐ณ๐ณ ๐๐ต๐ถ๐ ๐๐ฒ๐ฒ๐ธ๐ฒ๐ป๐ฑ. We didnโt jump straight into tools. We laid the foundation first. ๐ช๐ต๐ฎ๐ ๐๐ฒ ๐ฐ๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ: โ What data actually is - types, structure, and sources โ What data analysis means and what analysts are responsible