16 Hours Only Data Analytics Training Course in Dublin
16 Hours Only Data Analytics Training course is a Instructor-led and guided training being delivered March 18, 2021 - April 13, 2021.
16 Hours Only Data Analytics training is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 4 Weeks, 2 sessions per week, 2 hours per session.
- The medium of instruction is English.
- All Published Ticket Prices are in US Dollars.
16 Hours Data Analytics Training Course Schedule
- March 18, 2021 - April 13, 2021 US Pacific time
- 4 Weeks | 2 Hours on Tuesdays, 2 Hours on Thursdays every week US Pacific time
- 8:30 AM - 10:30 AM US Pacific time each of those days
- Please click here to add your city name and check your local date and time for the first session to be held on March 18, 2021 at 8:30 AM US Pacific Time.
Features and Benefits
- 4 weeks, 8 sessions, 16 hours of total Instructor-led and guided training
- Training material, instructor handouts and access to useful resources on the cloud provided
- Practical Hands-on Lab exercises provided
- Actual code and scripts provided
- Real-life Scenarios
What you will learn?
- What is Data Analytics
- How to prepare and analyze data
- When and How to use SQL for Data Analytics
- When and how to use Python and Pandas for Data Analytics
- Data Visualization
Who should attend
- Anyone who is interested in learning Data Analytics.
Prerequisites
- You don't any background in python or data analysis
- Basic computer literacy
Course Outline
1. Introduction to Data Analytics
2. Learn how to prepare and analyze data
3. Data Analytics Process
- Accessing Data
- Importing Data
- Understanding data and meaning of data
- Data Cleansing
- Data Transformation
- Preparing for Data Visualization
4. Data Analysis and Business
- Understanding business requirements and business rules
- Interpreting and preparing data according to business requirements
5. Applying Database and SQL Concepts to Data for Data Analytics
- Joins
6. Using Python and Pandas for Data Analytics
1) Python:
- Data Types
- Operators
- Decision Making
- Loops
- String,List,Tuple functions
- List Functions
- Tuple functions
- Functions
- Date and Time
- Regular Expressions
2) Pandas:
- Data Types
- Descriptive Statistics
- Function Table/row/column wise
- Iterating through Dataframe
- Sorting
- Series String Functions
- Indexing and Selecting data
- Group_By
- Merging of Data, Concatenation
- Date and Time
- SQL statements in Pandas
7. Data Visualization Methods and Techniques
16 Hours Only Data Analytics Training course is a Instructor-led and guided training being delivered March 18, 2021 - April 13, 2021.
16 Hours Only Data Analytics training is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 4 Weeks, 2 sessions per week, 2 hours per session.
- The medium of instruction is English.
- All Published Ticket Prices are in US Dollars.
16 Hours Data Analytics Training Course Schedule
- March 18, 2021 - April 13, 2021 US Pacific time
- 4 Weeks | 2 Hours on Tuesdays, 2 Hours on Thursdays every week US Pacific time
- 8:30 AM - 10:30 AM US Pacific time each of those days
- Please click here to add your city name and check your local date and time for the first session to be held on March 18, 2021 at 8:30 AM US Pacific Time.
Features and Benefits
- 4 weeks, 8 sessions, 16 hours of total Instructor-led and guided training
- Training material, instructor handouts and access to useful resources on the cloud provided
- Practical Hands-on Lab exercises provided
- Actual code and scripts provided
- Real-life Scenarios
What you will learn?
- What is Data Analytics
- How to prepare and analyze data
- When and How to use SQL for Data Analytics
- When and how to use Python and Pandas for Data Analytics
- Data Visualization
Who should attend
- Anyone who is interested in learning Data Analytics.
Prerequisites
- You don't any background in python or data analysis
- Basic computer literacy
Course Outline
1. Introduction to Data Analytics
2. Learn how to prepare and analyze data
3. Data Analytics Process
- Accessing Data
- Importing Data
- Understanding data and meaning of data
- Data Cleansing
- Data Transformation
- Preparing for Data Visualization
4. Data Analysis and Business
- Understanding business requirements and business rules
- Interpreting and preparing data according to business requirements
5. Applying Database and SQL Concepts to Data for Data Analytics
- Joins
6. Using Python and Pandas for Data Analytics
1) Python:
- Data Types
- Operators
- Decision Making
- Loops
- String,List,Tuple functions
- List Functions
- Tuple functions
- Functions
- Date and Time
- Regular Expressions
2) Pandas:
- Data Types
- Descriptive Statistics
- Function Table/row/column wise
- Iterating through Dataframe
- Sorting
- Series String Functions
- Indexing and Selecting data
- Group_By
- Merging of Data, Concatenation
- Date and Time
- SQL statements in Pandas
7. Data Visualization Methods and Techniques