Data Analytics Flex

22 Weeks · Online · Live 1:1 Mentorship · Career Coaching · Tuition $9,950

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DATA ANALYTICS FLEX BOOTCAMP

Gain the skills to become a Data and Business Analyst with Python, SQL, Tableau, Microsoft Power BI, Jupyter Notebook, Selenium, Web Scraping, Exploratory Data Analysis, and APIs

Companies are looking to data to make better business decisions, whether it is forecasting revenue, iterating processes for efficiency, or finding ways to increase productivity. This had led to employers seeking trained individuals who possess technical and data analytic skills, problem solving skills, and effectively communicate insights. Join our Data Analytics bootcamp and get the hands-on skills you need to launch a career as a data and business analyst. Learn how to query, clean, wrangle, analyze, and visualize data with modern tools that employers look for, such as Python, Pandas, Numpy, Seaborn, Matplotlib, SQL, Tableau, Microsoft Power BI, Jupyter Notebook, Selenium, BeautifulSoup, and more. Be trained in programming, databases, exploratory data analysis, web scraping, application programming interfaces, and how to implement strategies to efficiently communicate data-driven insights in a verbal and visual way.

DATA ANALYTICS PROGRAM DETAILS

Learn the relevant skills and modern tools you need to become a Data Analyst.
Put your programming and database skills, data analysis skills, and statistical techniques to work by taking raw data and turning it into information and insight for business decision-makers. Use modern tools used by professionals to extract data from sources, cleanse data, manipulate data, and visualize data.
Be surrounded by a support system of instructors that will answer your questions and meet with you 1:1 to provide direction on projects and mentorship throughout the program.
Get detailed video feedback on all projects to see what you did well and where you can improve so that you can strengthen your data analysis and visualization skills.
Receive quality coaching and support from our Career Services team to ensure your resume and LinkedIn stand out and you are prepared to impress in interviews.

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We can help you achieve your career goals. Speak to an advisor and find out how.

SCHEDULE A VIRTUAL INFO SESSION

WHY BECOME A DATA ANALYST?

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High Demand

The demand is high for Data Analysts, Business Intelligence Analysts, and Data Engineers. Every company deals with data, but the need for someone who is trained in querying data, cleaning data, wrangling data, interpreting data, and visualizing data is growing. The ability to use programming languages and statistical tools to identify, analyze, and interpret patterns in complex data sets translates to great opportunities and a high career ceiling that has the potential to lead to high career earnings long term.

Flexible Career Path

Knowing how to work with data and visualize it in a way that provides insight to business decision-makers means opening the doors to a flexible career path in which you can work in person or remote for startups, agencies, or large corporations. The more experience you gain the more growth and employment opportunities that will appear.

Data is Evolving

The technology industry and the way companies deal with data is evolving, which has led to an increased need for people who have a modern skillset that can work with data. Having a team of trained professionals who can take raw data, transform it into useful information, and visualize it for others to make better business decisions is what could lead a company to great profits. With data evolving and becoming more important than ever, the need for trained data analysts is increasing.

CURRICULUM

PYTH

PYTHON

MODULE 1

Basic Python

Python is one of the most in-demand programming languages for data manipulation, data analysis, and data visualization.

It is a skill that is a top priority to learn for any data analyst. In this module, you will learn the fundamentals of Python, intro to how to solve complex business problems with Python, data structures, problem solving, critical thinking, and the importance of version control with Git and GitHub to ensure your code is stored safely.

SQL

MODULE 2

Databases & SQL

To get a job in data analytics, it is critical to know Structured Query Language (SQL) and how to query and handle data in relational databases. This makes SQL an invaluable skill in modern data analytics.

In this module, you will learn how to use tools to connect to and query data from a database, how to write effective SQL queries, and how to select, group, analyze, and manipulate data across multiple tables.

EXCE

EXCEL

MODULE 3

Data Cleaning & Wrangling

Data cleaning is the process of correcting inaccurate data and removing inconsistencies.

Data wrangling is the process of mapping and converting data from one format to another.

Both are required skills to be a professional data analyst. You will learn data cleaning, data manipulation, and data wrangling with tools such as Microsoft Excel, Pandas, and NumPy.

ANAL

ANALYZE

MODULE 4

Exploratory Data Analysis

Data analysis is the process of gathering, cleaning, analyzing, transforming, and modeling data with the intent of forming better business decisions.

In this module, you will learn data analysis, statistics, linear regression theory and application, and take a deep dive into exploratory data analysis by learning how to identify a business problem, analyze data sets, manipulate data sets, and visualize data sets with Python and SQL tools.

VISU

VISUALIZE

MODULE 5

Data Visualization & Tableau

A necessary skill that employers look for is the ability to visualize data. The purpose is to display a better understanding of data-driven insights and help decision-makers identify patterns.

You will learn how to visualize data with Python libraries Seaborn and Matplotlib. You also will learn Tableau, a visual analytics platform that is the industry-leading choice for business intelligence and presentation of data.

SCRA

SCRAPING

MODULE 6

Web Scraping & Selenium

Web scraping is a valuable way for data analysts and business analysts to gather data for analysis.

In this module, you will learn web scraping syntax, how to take that syntax to navigate HTML hierarchy and gather data.

You'll also learn how to use tools such as Selenium and BeautifulSoup to successfully scrape data from the web and pull it into an application for data analysis, manipulation, and visualization.

API

MODULE 7

APIs

An Application Programming Interface (API) allows for applications of code to interact with one another to transfer data from one resource to another.

Querying data from an API is a valuable ability to have because it allows for a data- or business-analyst to use that generated data for analysis, data modeling, and data visualization.

BUSI

BUSINESS

MODULE 8

Business Analysis & Power BI

In this module, you will learn how to develop frameworks to handle the business impact of analyzed and reported data, the importance of communicating technical points with other data analysts and explanations to decision makers, and how to implement strategies to efficiently communicate data-driven insights in a verbal and visual way. Microsoft's Power BI is an industry tool for business intelligence, reporting, and data visualization. It is the tool you will learn and get experience with to accomplish the goals of this module.

THE DEVCODECAMP DIFFERENCE

Instructor Support

Any student taking the self-paced program will receive individualized attention from the full-time experienced instructional staff. Instructors will be available to answer your questions daily, provide guidance and feedback on your project work, meet with you 1:1 for weekly mentor sessions, provide 1.5 hours per week of live lecture and demo, and be your support system through this exciting journey.

Curriculum

Our experienced educators, developers, and content creators combined to build a curriculum that is loaded with learning materials designed to teach modern technologies and equip you with relevant skills you need to get a job as a developer. What we teach in the virtual classroom is what you will see in the world of professional development.

Project Based Learning

The best way to gain the skills you need to be job ready is through hands-on experience. You will put together a portfolio of real-world projects that will showcase you have what it takes to get hired. All graded projects will receive recorded instructor video feedback, so that you know what you did well, what areas you need to improve, and gain a better understanding of the code.

Capstone Project

Each student’s final project is an individual capstone in which you bring an idea you have for an app to life in the form of a data analysis application. The application will contain a design, data, algorithms, and built with modern tools taught in the program. It is an opportunity to get more familiar with the tools you have learned, push yourself to great heights, implement proper data analysis and visualization, and showcase your abilities to be a professional data and business analyst.

Career Support

Our goals are the exact same as your goals, which is to help you launch a career as a Data Analyst. Learn how to navigate the industry, create a resume, create a LinkedIn profile, how to prepare for interviews, and how to go about finding job opportunities by utilizing our video resources and communicating with our career coaches via Slack.

Alumni Network

devCodeCamp’s alumni continues to grow strong with each graduating cohort. Over the years, we’ve seen our alumni get promoted to positions where they lead their own team. Where do they look first to build out the team? Other devCodeCamp alumni. Students are welcome to reach out for advice on entering the industry, interview tips, and what to expect in the first few days on the job.