Complete Data Analysis with SPSS

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4.8
(5 students)
Last updated 11/2026 English English [Auto]

Description

Course content

001 Office 365 setup ( Optional)
002 Activating office 365 | (optional)
003 Logging into office 365 (Optional)
004 What is Power Pivot
005 Office versions of power pivot
006 Enable Power Pivot in excel
007 What is Power Query
008 Connecting to a data source
009 Preparing query
010 Cleansing data
011 Enhancing query
012 Creating a data model
013 Building data relationships
014 Create lookups with DAX
015 Analyse Data with Pivot Tables
016 Analyse data with Pivot Charts
017 Refresh Source Data
018 Update Queries
019 Create new reports
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001 What is Power BI
002 What is Power BI Desktop
003 Installing Power BI Desktop
004 Power BI Desktop tour
005 Power BI Overview_ Part 1
006 Power BI Overview_ Part 2
007 Power BI Overview_ Part 3
008 Components of Power BI
009 Building blocks of power BI
010 Exploring Power BI Desktop Interface
011 Exploring Power BI Service
012 Power BI Apps
013 Connecting to web data
014 Clean and transform data _ Part 1
015 Clean and transform data _ Part 2
016 Combining Data Sources
017 Creating Visualization _ Part 1
018 Creating Visualization _ Part 2
019 Publishing Reports to Power BI Service
020 Importing and transforming data from Access db file
021 Changing locale
022 Connecting to MS Access DB File
023 Power query editor and queries
024 Creating and managing query groups
025 Renaming Queries
026 Splitting Columns
027 Changing Data Types
028 Removing and reordering columns
029 Duplicating and adding columns
030 Creating conditional columns
031 Connecting to files in folder
032 Appending queries
033 Merge queries
034 Query dependency view
035 Transform less structured data_ Part 1
036 Transform less structured data_ Part 2
037 Creating tables
038 Query Parameters
001 Introduction
002 What is Python
003 What is Jupyter Notebook
004 Installing Jupyter Notebook Server
005 Running Jupyter Notebook Server
006 Common Jupyter Notebook Commads
007 Jupyter Notebook Components
008 Jupyter Notebook Dashboard
008 Jupyter Notebook Dashboard
009 Jupyter Notebook Interface
010 Creating a new Jupyter Notebook
001 Kaggle Datasets
002 Tabular data
003 Exploring Pandas DataFrame
004 Analysing and manipulating pandas dataframe
005 What is data cleaning
006 Basic data cleaning
007 Data Visualization
007 Data Visualization
009 Visualizing quantitative data
010 Exploring Power BI Desktop Interface
001 What is Power BI
002 What is Power BI Desktop
003 Installing Power BI Desktop
004 Power BI Desktop tour
005 Power BI Overview_ Part 1
006 Power BI Overview_ Part 2
007 Power BI Overview_ Part 3
008 Components of Power BI
009 Building blocks of Power BI
010 Exploring Power BI Desktop Interface
011 Exploring Power BI Service
012 Power BI Apps
013 Connecting to web data
014 Clean and transform data _ Part 1
015 Clean and transform data _ Part 2
016 Combining Data Sources
017 Creating Visualization _ Part 1
018 Creating Visualization _ Part 2
019 Publishing Reports to Power BI Service
020 Importing and transforming data from Access db file
021 Changing locale
022 Connecting to MS Access DB File
023 Power query editor and queries
024 Creating and managing query groups
025 Renaming Queries
026 Splitting Columns
027 Changing Data Types
028 Removing and reordering columns
029 Duplicating and adding columns
030 Creating conditional columns
031 Connecting to files in folder
032 Appending queries
033 Merge queries
034 Query dependency view
035 Transform less structured data_ Part 1
036 Transform less structured data_ Part 2
037 Creating tables
038 Query Parameters
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Complete Data Analysis with SPSS

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Course Features:

119 on-demand videos
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