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

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تولید کننده: Udemy