$425.98 – $532.07

16 Hours Data Analytics Training Course in Paris

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IT Training Center

Paris

France

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Event description
16 Hours Data Analytics Training course is a Instructor-led and guided training being delivered during October 6 - October 29, 2020.

About this Event

16 Hours 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 Schedule

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

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Location

IT Training Center

Paris

France

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Refund Policy

Contact the organizer to request a refund.

Eventbrite's fee is nonrefundable.

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