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RapidxIQ Technologies

Data Analysis Trainee

Early Applicant
  • 7 days ago
  • Be among the first 50 applicants

Job Description

Data Analyst Traineeship is a self paced 4 week Industrial Training program with mentorship support.

After applying, you will receive a form in your email. It is very important to fill it to apply for the job.

Program Description

Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You'll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.

This Program does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.

Upon successful completion of this program, you'll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. You'll also build the foundation for other data disciplines such as data science or data engineering.

What we cover in 4 weeks.

Week 1 - 3

Introduction to Data Analytics

Excel Basics for Data Analysis

Data Visualization and Dashboards with Excel and Cognos

Python for Data Science, AI & Development

Python Project for Data Science

Databases and SQL for Data Science with Python

Data Analysis with Python

Data Visualization with Python

Week 4

Capstone Project

Program Benefits

Certificate of Completion

Letter of Recommendation

Complete this course while you work

Rigorous curriculum designed by industry experts

Best performers will also be offered a job within the company.

More Info

Industry:Other

Function:Data Analytics

Job Type:Permanent Job

Date Posted: 17/11/2024

Job ID: 100606915

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Last Updated: 19-11-2024 07:32:03 PM
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