Data Analysis Training Online

About our Data Analysis online course

This Data Analysis course is designed to equip learners with the necessary skills to interpret and analyze data for decision-making. It is suited for beginners, those seeking to upskill, and career switchers. With the rise of big data, the demand for data analysts in the USA market has skyrocketed. After successfully completing this course, you will have the skills to collect, analyze, and interpret data in various industries.

Data Analysis Course key highlights

• Instructor-led/live online classes
• Hands-on labs
• Real-world case studies
• Capstone project
• Placement support
• Resume and interview preparation

Overview of our Data Analysis online Training

The course offers weekday and weekend live sessions complemented with a Learning Management System (LMS) for self-paced study. Lab environments with real-world datasets are utilized for practical application of the learned skills.

Tools & Systems Used:

• Python
• R
• SQL
• Excel
• Tableau
• Hadoop

Objectives of our Data Analysis online training course

• Understand and apply statistical techniques for data analysis
• Develop proficiency in using data analysis tools
• Learn to clean and prepare data for analysis
• Interpret and visualize data using charts and graphs
• Develop problem-solving skills through real-world case studies
• Prepare for a career in data analysis

What you will learn in our Data Analysis classes

• Introduction to data analysis concepts
• How to use data analysis tools and techniques
• Interpreting and visualizing data
• Applying statistical methods for data analysis
• Solving real-world problems using data analysis
• Preparing for a career in data analysis

Course syllabus

• Module 1: Introduction to Data Analysis
  • Understanding data analysis
  • Role of a data analyst
  • Data types and sources
• Module 2: Data Analysis Tools
  • Introduction to Python and R
  • Using SQL for data manipulation
  • Data visualization with Tableau

Prerequisites: Basic knowledge of statistics and programming will be beneficial.

Included resources: Access to LMS, class recordings, and templates.

Course details

Pricing: Contact our instructors for pricing in USD.

Software requirements: A system with Windows or MacOS, high-speed internet, a headset, and system specs suitable for data analysis software installation.

After-course support: We offer resume help, mock interviews, placement assistance, and career counseling. Please email us at {Email} or click the button below to speak to an advisor.

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