Become a Data Analyst in 6 Months

The bootcamp itself is structured into 18 learning units which include: 

1. Program Overview

2. Structured Foundations

3. Your Job Search Strategy

4. Microsoft Excel for Business Analytics

5. Financial Analysis

6. Effective Networking: Building Your Network

7. Economics for Data Analysis

8. Statistics for Data Analysis

9. Informational Interviews

10. Visualization Tools

11. The Art of Storytelling

12. Find the Right Job Title & Companies

13. Data Connectivity

14. Preparing for and Getting Interviews

15. Data Analysis in Python

16. Capstone

17. Effective Interviewing for Data Analysts

18. Bootcamp Conclusion and Congrats!

In the capstone, you’ll work with your mentor to choose a data set from an industry that interests you. The goal of the capstone is to analyze the data and provide business recommendations to executives that can help shape the organization’s financial or strategic drivers. You’ll state your hypothesis, prove or disprove it, and package all of these insights into a presentation that you’ll deliver to your mentor. 

To create your capstone project, you’ll employ several skills you’ve learned in the bootcamp:

• Creating hypotheses and drawing a data hierarchy map 

• Extracting data from relational databases using SQL

• Cleaning data using Python

• Mastering presentation personas

This capstone project can be the foundation of your portfolio which you can show to hiring managers. 

Optional career units are offered at strategic points within the curriculum. 

You’ll also have access to a 1-on-1 career coach who can help you create a tailored job search strategy. With your coach, you can discuss topics like:

• Jobs and job titles to target

• Job search strategies that top candidates use

• How to build your network and effectively use it to land interviews

• Create a high-quality resume, LinkedIn profile, and cover letter

• Interview coaching and practice, including mock interviews for both technical and non-technical topics

• Negotiation success tips 

Bootcamps can be a great way to gain the skills you need in order to start a career in data analytics, especially if you want to keep tuition costs low and move into a new career within months rather than years. However, not all programs are created equal, so it’s important to do your research before enrolling. Some things to look for when choosing a data analytics bootcamp include an up-to-date curriculum, what student support will be available, and how the bootcamp will fit into your life.

The Data Analytics Bootcamp with National University will have you job ready in as little as six months. It’s 100% online, so you don’t have to put your full-time job on hold. You’ll have the support of a whole team, including your industry mentor. When you graduate, you’ll have earned a credential from a leading university and you’ll have the portfolio to prove your skills. 

Data analytics is the process of examining large data sets to uncover hidden patterns, correlations, and trends. It's a powerful tool for understanding what is happening within your business, and it can help you make more informed decisions about where to allocate your resources.

Data analytics can be used to improve marketing campaigns, detect fraudulent activity, identify customer needs and preferences, and optimize operations. The possibilities are endless, and the benefits are clear.

Data analysts are in high demand, and it's only going to continue to grow in the coming years. Companies are collecting more and more data every day, and they need people who can help make sense of it all. The Bureau of Labor and Statistics (BLS) expects the field to grow at 25% between 2020 and 2030, significantly outpacing the national average of 8%. 

A data analyst gathers, cleans, and organizes data to identify trends and relationships. They then use this information to make informed business decisions.

Some of the most common tasks of a data analyst include: extracting data from various sources, cleaning and transforming data, identifying patterns and trends, developing models to forecast future trends, and presenting findings to stakeholders.

Data analysts must be able to work with large volumes of data, as well as with different types of data (including unstructured data). They must also be able to think critically and analytically to derive insights from complex datasets.

It can take months or years to build all of the skills needed to become a data analyst, but a program like the Data Analytics Bootcamp with National University can help speed that process up. With curated curriculum and the support of your 1-on-1 expert data analytics mentor, you’ll learn these skills more quickly. 

If you have a background in programming or statistics, you'll be able to learn the necessary skills for data analysis more quickly. But even if you're starting from scratch, with some focused effort you can become proficient in data analysis.

On average, data analysts earn an annual salary of $62,970 (Payscale). Salary can range depending on role, sector, years of experience, and location. 

Foundationally, you need to develop the ability to collect, organize, and analyze data to work in data analytics. This involves having a basic understanding of statistics and being able to use software to extract insights from data.

You also need strong problem-solving skills. Data analytics is all about identifying patterns and trends in data and coming up with hypotheses about what they mean.

Verbal and written communication skills are important too, as you will often need to communicate your findings to others clearly and concisely. The adoption of your recommendations is reliant upon your communication skills.