DATA ANALYSIS USING EXCEL

Acara

08 – 11 April 2019 | Rp 8.500.000/ peserta di Bandung
14 – 17 Mei 2019 | Rp 8.500.000/ peserta di Bandung
25 – 28 Juni 2019 | Rp 8.500.000/ peserta di Bandung
23 – 26 Juli 2019 | Rp 8.500.000/ peserta di Bandung

Jadwal Training 2019 Selanjutnya …

 

 

DATA ANALYSIS USING EXCEL TRAINING DESCRIPTION

The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool. In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data. Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards. You should have a basic understanding of creating formulas and how cells are referenced by rows and columns within Excel to take this course. If required, you can can find many help topics on Excel at the Microsoft Office Support Site. You are welcome to use any supported version of Excel you have installed in your computer, however, the instructions are based on Excel 2016.

 

DATA ANALYSIS USING EXCEL TRAINING MATERIAL OUTLINE

Day 1

  1. Learn about Excel tables and what is their advantage over regular ranges.
  2. Use a table to filter, sort and see totals.
  3. See how calculations can be used to add columns to the existing data in Excel table.

Day 2

  1. Create our first pivot table.
  2. Use multiple pivot tables and pivot charts to create our first dashboard.
  3. Connect multiple slicers to the pivot tables.

Day 3

  1. Explore in more depth the full power of pivot tables.
  2. See how to filter the data shown in the pivot in many ways to achieve interesting subsets of the data.
  3. Use calculated fields on top of the pivot table to calculate profitability and find anomalies.

Day 4

  1. Use formulas to aggregate the data as an alternative to pivot tables for more flexible reporting layouts.
  2. See how a pivot can use more than one table and introduction to the Excel data table that is described in detail in the more advanced course in these series.

 

RECOMMENDATION FOR PARTICIPANT: Participant must bring Laptop for practice sessions

 

INSTRUCTOR :    Abdullah Fajar, S.Si.,M.Sc.

 

VENUE :  Bandung (Golden Flower, Banana Inn, Serela, Gino Feruci), Amaroossa Hotel, Noor Hotel, Grand Setiabudi Hotel, dll

 

TRAINING DURATION :   4 days

 

JADWAL TRAINING 2019

  1. 08 Apr 2019-11 Apr 2019
  2. 14 Mei 2019-17 Mei 2019
  3. 25 Jun 2019-28 Jun 2019
  4. 23 Jul 2019-26 Jul 2019
  5. 13 Agust 2019-16 Agust 2019
  6. 10 Sep 2019-13 Sep 2019
  7. 22 Okt 2019-25 Okt 2019
  8. 12 Nop 2019-15 Nop 2019
  9. 16 Des 2019-19 Des 2019

 

INVESTATION PRICE/PERSON :

  1. Rp. 8.500.000/peserta (bayar penuh)  atau
  2. Rp. 8.250.000/peserta (early bird, yang membayar 1 minggu sebelum training)  atau
  3. Rp. 7.950.000/peserta (peserta bergroup yang terdiri dari 3 peserta atau lebih dari 1 perusahaan yang sama)

 

FACILITIES FOR PARTICIPANTS:

  1. Modul Training
  2. Flash Disk berisi materi training
  3. Sertifikat
  4. ATK: NoteBook dan Ballpoint
  5. T-Shirt
  6. Ransel
  7. Foto Training
  8. Ruang Training dengan fasilitas Full AC dan multimedia
  9. Makan siang dan 2 kali coffeebreak
  10. Instruktur yang Qualified
  11. Transportasi untuk peserta dari hotel penginapan ke hotel tempat training – PP (jika peserta minimal dari satu perusahaan ada 4 peserta)

 

INTRODUCTION TO DATA ANALYSIS USING EXCEL

 

Formulir Pra-Pendaftaran Public Training / Permintaan Informasi Lebih Lanjut
  1. JENIS INFORMASI/TRAINING
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  4. DATA PRIBADI
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  8. (valid email required)
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  11. DATA PRE REGISTRATION (Tidak Mengikat)
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  13. PESAN UNTUK PENYELENGGARA TRAINING
 

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