Sales Forecasting Dashboard using Looker, Big Query and SQL

سرفصل های دوره

Create a real world sales-/ marketing forecast model and a goal tracking report that works with minimum data history.

1 - Before we start Prerequisites

1 - Why it is so important to start using predictive analytics for your career

2 - The Solution Overview

3 - Is this course for you

4 - Overview Course Content

5 - Can you do this course without prior knowledge

6 - Why in a real world example time series forecasting based on MLearning fails

2 - Set up Google Big Query

7 - Google Cloud Big Query Account Setup and why its free

8 - Google Cloud and navigating to Google Big Query

9 - Overview Google Big Query and creating the dataset

3 - Example Dataset and loading the data into Google Big Query

10 - Link to the google spreadsheet.txt

10 - Overview and access the data

11 - Overview example data that we want to forecast

12 - Why a separate dimdate table is needed

13 - Loading the data into Google Big Query

4 - Basic SQL Concepts

14 - Introduction

15 - Basic SQL Query

16 - Group Aggregate costs by date Important for your own data

17 - You dont want to have the same date in multiple rows

5 - The SQL Forecast Query

18 - What the Query will do explained in Google Sheets I

19 - What the Query will do explained in Google Sheets II

20 - Forecast-Model-SQL-with-latest-data-yesterday.txt

20 - The Forecast Query in Google Big Query

21 - Forecast-Model-SQL-with-latest-data-yesterday.txt

21 - How to make the Forecast Query work changes you need to make

22 - Running the query and explain the result

23 - Save the query as a view in Google Big Query

24 - Connect the forecast view to looker studio and take a first look

25 - Explore the data and create a calculated field

25 - Forecast-Model-data-studio-formula.txt

26 - Create all forecasts add a budget line change designs

27 - Final thoughts on the forecast model and recommendation on usage

28 - Create all the other forecasts in SQL sales salesvolume

6 - Creating the Forecast Dashboard in Looker Studio

29 - Introduction

30 - Copy the base report

30 - Looker Studio Template.txt

31 - Creating the first Page Manager View and adding a data source

32 - Review of the first page and general dashboard design overview

33 - Second Page 1 Goal Tracking Scribble

34 - Second Page 2 Goal Tracking Start

35 - Second Page 2 Goal Tracking Add the data

36 - Second Page 3 Goal Tracking Actual and Goal Visualization Options

37 - Second Page 4 Goal Tracking Complete the First Forecast Model

38 - Second Page 5 Goal Tracking Complete the second Forecast Model

39 - Second Page 6 Goal Tracking Finalizing

40 - Dashboard Template How to copy the report

40 - Link to the Report Template.txt

40 - person1.zip

40 - person2.zip

40 - untitled-design.zip

7 - How to create the Dashboard in Microsoft Power BI

41 - Power BI Settings and connecting the data

42 - Power BI Explore the data and creating a line chart

43 - Power BI Creating the running sum measures

44 - Power BI Finalizing

44 - forecast-dashboard-power-bi.zip

8 - How to create the forecast dashboard with your own data

45 - Introduction

46 - Tips on how to load your own data into Google Big Query

47 - How to modify your data to make the query work recap of other lectures

179,000 تومان

افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy