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Business Data Analyst Course
Tek yuh kariya go nex level wid wi Bizniz Data Analyst Kuos. Dis kuos mek fi statistiks professhanal dem weh wahn praaktikal, top-notch lerning. Yu wi master data eksplorieshan teknik, karelieshan analisis, ahn deskriptiv statistiks fundamentals. Sharpen yuh skilz dem ina data cleaning, time series analisis, ahn segmentieshan analisis. Lorn efektiv riporting teknik fi komyunikiet insaitz dem klia-klia. Dis kuos a go powa yu fi handle real-world data challenges dem wid kanfidens ahn presishan, ahn aal a dat pan yuh uon piez.
- Master data strokcha: Grab hol a komplix data friemwok dem fi get insaitful analisis.
- Detect anomili dem: Spot ahn deal wid tingz weh no normal ina di data set dem efektivali.
- Visualize karelieshan dem: Yuz skata plot fi shuo di relieshanship bitwiin data klia-klia.
- Clean data efishently: Mek shu dat di data solid wid powaful cleaning teknik.
- Analyze time series: Riko-gnaiz chrend ahn patternz ina data weh de go pan uva time.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Tek yuh kariya go nex level wid wi Bizniz Data Analyst Kuos. Dis kuos mek fi statistiks professhanal dem weh wahn praaktikal, top-notch lerning. Yu wi master data eksplorieshan teknik, karelieshan analisis, ahn deskriptiv statistiks fundamentals. Sharpen yuh skilz dem ina data cleaning, time series analisis, ahn segmentieshan analisis. Lorn efektiv riporting teknik fi komyunikiet insaitz dem klia-klia. Dis kuos a go powa yu fi handle real-world data challenges dem wid kanfidens ahn presishan, ahn aal a dat pan yuh uon piez.
Elevify advantages
Develop skills
- Master data strokcha: Grab hol a komplix data friemwok dem fi get insaitful analisis.
- Detect anomili dem: Spot ahn deal wid tingz weh no normal ina di data set dem efektivali.
- Visualize karelieshan dem: Yuz skata plot fi shuo di relieshanship bitwiin data klia-klia.
- Clean data efishently: Mek shu dat di data solid wid powaful cleaning teknik.
- Analyze time series: Riko-gnaiz chrend ahn patternz ina data weh de go pan uva time.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
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