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This is a 16 hours Instructor-led Data Analytics Training Course for Beginners to be taught over 4 weekends.About this Event
Enrollment is still open for Upcoming Data Analytics Training Classes for Beginners <---
- Phone: +1.206.494.3248
- email: [email protected]
- website: https://skillsharp.co
Data Analytics training is a 4 weekends long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 16 hours, 2 sessions per week, 2 hours per session.
- This course is meant for beginners who would like to learn everything about being a Data Analytics.
- Instructor-led and guided training
- Practical Hands-On, Highly Interactive training
- The medium of instruction is English.
- All Published Ticket Prices are in US Dollars.
Weekends Data Analytics Training Course Schedule
- December 4, 2021 - December 26, 2021 US Pacific time
- 4 Weekends | 2 Hours Saturday, 2 Hours Sunday every weekend US Pacific time
- 7:30 AM - 9:30 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 December 4, 2021 at 7:30 AM US Pacific Time.
Features and Benefits
- 4 weekends, 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
Prerequisites
- You don't any background in python or data analysis
- Basic computer literacy
Course Objectives
- 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
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
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Event Venue & Nearby Stays
UpSkill Institute, Stillwater, United States
Tickets
USD 97.00