Data Analyst Training

Data Analyst

A data analyst collects, processes, and performs statistical analyses on a large dataset. They discover how they can use data to answer questions and solve problems. With the development of computers and an ever-increasing move toward technological intertwinement, data analysis has evolved. The relational database development gave a new breath to data analysts, which allowed analysts to use SQL  to retrieve data from databases.

Data Analyst Training Overview

Boost your data analyst career by learning the major principles of data analysis and gaining hands-on skills practice. You will work with various project scenarios, data sources, and data analysis tools, including SQL, Excel, and Python, obtaining practical experience with data manipulation and applying analytical techniques. This course doesn’t require any prior programming or statistical skills. It is suitable for candidates with or without college degrees. All you need is basic computer knowledge, high school mathematics, comfort working with numbers, willingness to learn, and a desire to maintain your profile with valuable skills.

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    Curriculum

    • 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 and Data Visualization with Python

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    Why choose Wolf Careers?

    Wolfcareers has left no stones unturned in imparting the best practices of Data Analyst Training to the students. We are second to none because of the following reasons: 

    • We have Years of experience immersed in this field
    • We have the best in town team of professionals
    • We have achieved a 100% customer satisfaction rate
    • We give our students Industry-standard certification
    • Our students have 24×7 access to study material
    • We offer an affordable fee structure
    Training & Placement Assistances

    We provide post-training preparation and placement assistance after complete the course.

    • Training and coaching on ‘Basic Skills’ necessary to work on a project.
    • Theoretical assignment to evaluate and help understand the concept of an IT project.
    • Practical assignment on a day to day job responsibility 
    • Q & A session.
    • Guidance on creating a powerful Resume.
    • Mock interviews to prepare for the job.
    • Help and guidance with the submission of the resume to prospective clients.

    Our Data Analyst Training Objectives

    • Working on a hands-on project

    • Communicating with and extracting data from database

    • A working knowledge of databases, SQL and more.

    • Prepare data for analysis

    • Perform simple statistical analysis

    • Create meaningful data visualizations

    • Predict future trends from data

    Testimonials

    Here’s what our happy Client’s had to say about our training and services:

    Testimonial

    The Instructors were wonderful, and all the concepts were clearly explained, and the corresponding assignments were useful to understand and implement the learned concepts.

    Ayala
    Testimonial

    The basics of Business Intelligence training are pretty well delivered during the course.

    Shreve
    Testimonial

    Course was very good. Instructors were the best.

    Joann

    Frequently Asked Questions

    No specialization or degree is needed. You must have basic IT knowledge, high-school-level math, and be comfortable working with numbers.

    Data analytics skills will prove valuable in any profession. As data analytics technology develops, organizations across fields are increasingly using data to inform decision-making. This program will provide you with all the skills needed for an entry-level Data Analyst role. It will provide a strong foundation for future career development in other paths such as data science or data engineering

    It is highly recommended to complete the courses in the listed order, as they build upon concepts in the previous courses.

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