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Data Analyst Career Certificate Program - NCLAB

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The self-paced, online Data Analyst Career Certificate Program provides you with a university career certificate and the knowledge, practical experience, competency and confidence to qualify for high-paying data analyst jobs.

Data analysts are professionals who collect, process and perform analyses on enterprises’ huge quantities of information to help them make better business decisions. Virtually all enterprises have now reached “data overload” and need data analysts to help them make sense of massive amounts of information. According to Indeed Inc.there are more than , there are currently more than 186,000 data analytics job openings in the United States, and data analysts can earn up to $104,000 annually.

This program is suitable for anyone seeking to enhance their career or looking for a new career in a high-demand occupation. Participants will learn how to do it all in data analytics: analysis of data, interpreting data and making predictions.

This online program utilizes active, self-paced, Learn-By-Doing training. This innovative approach provides bite-sized lessons, requiring participants to show they have mastered each concept by completing exercises before moving on to the next module.

This training program consists of 4 or 5 courses, depending on whether or not trainees have prior programming experience. The time it takes to complete the training varies from person to person. Each course takes an average of 80 hours to complete. While the majority of our trainees complete the training program in well under a year and some complete it in as little as 6 months, your personal situation will determine how long it will take you to graduate.

All interested trainees should contact one of our intake specialists prior to enrolling to complete an intake assessment. This interview helps our team of instructors understand your commitment, aspirations, and work habits to ensure your success in the program.

This competency based approach builds knowledge as well as practical experience, both of which are needed to qualify for most data analyst job openings. At the completion of the program you will receive a Data Analyst career certificate from Idaho State University and will walk away with the professional portfolio necessary to demonstrate ability, experience, and qualify for job openings.

As you proceed through interactive courses, personal instructors provide timely help as needed. These instructors will also be proactive in reaching out to you at regular intervals during your training to discuss progress and provide assistance.

Program Prerequisites:

Trainees should have a high school diploma prior to beginning the program. A programming background shortens the time required to complete the training but is not required. Click here to see a student testimonial: SQL Fundamentals.

Program Components:

Introduction to Computer Programming (optional 80 hours): If you have little or no prior experience in computer programming, you will take this course first. This powerful visual course will transform the way you think. In computer programming, correct algorithmic (computational) thinking is far more important than the knowledge of a particular programming language. This course will unlock your computer programming potential, and make it much easier for you to learn Python.

SQL Fundamentals (80 hours): In this course, you will learn about data and databases, with emphasis on Relational Database Management Systems (RBDMSs), which are used in virtually all industries and organizations to store data about employees, products, services, inventory, financial transactions, etc. You will learn how a RDBMS works, how to make basic queries, use aggregate functions, create and manage tables, and how to use basic joins.

Advanced SQL (80 hours): In a real company setting, RBDMSs tend to be large, complex and messy (they often contain damaged and/or incomplete data). To successfully handle such databases, training continues with this course, which teaches you how to use conditional expressions; work with text including search-and-replace operations, formulate subqueries and advanced joins; and how to use SQL functions.

Introduction to Python For Data Science (80 hours): The next part of the program includes Python programming. Python is a step up from SQL. You will learn in a hands-on fashion by solving programming tasks of gradually increasing complexity, ranging from simple calculations, working with text strings, loops, conditions, and variables, to file operations and data visualization.

Predictive Data Analytics with Python (80 hours): In this final course you will learn how to use Python and the powerful free libraries including Pandas, Numpy, Scipy, Matplotlib, Seaborn, and Statsmodels to read data from files, clean data, present data in visual form, perform qualitative and quantitative analysis of data, interpret data, and make predictions. At the end of this course, you will complete a Capstone Project under the supervision of a senior NCLab Data Analytics Instructor in order to graduate and obtain your Data Analyst Career Certificate.

Participation in the program requires a personal computer or tablet, high-speed internet access and an email address.

The Idaho State University, Continuing Education and Workforce Training Data Analyst Career Certificate is delivered through a partnership with NCLab, an innovative STEM career training provider.

Click Data Analyst Career Training Program to learn more.