Duration
32 Weeks
Weekly Study
15 - 20 Hours
100% Online
Total Cost
420 $

Modules Included

Python Programming

Duration
11 Weeks
Weekly Study
15 - 20 Hours
100% Online
Cost
90 $

Database Development

Duration
6 Weeks
Weekly Study
15 - 20 Hours
100% Online
Cost
31 $

Modeling and Data Analysis with Python and Power BI

Duration
13 Weeks
Weekly Study
15 - 20 Hours
100% Online
Cost
149 $

Business Intelligence Training

Duration
4 Weeks
Weekly Study
15 - 20 Hours
100% Online
Cost
Free
Scholarships of up to 100% offered by sponsors
Discounts for promotions
Check with your Sponsor the Content Offered
Courses of Program
Cost: 270 $
Option to take certification exams
BIAFPC
Cost: Free
BIAPC
Cost: 150 $
Professional Preparation

Data Analyst

The data analyst training program prepares professionals with the profile to learn to organize data sets, find patterns, discover new results, present conclusions in the form of visual objects and share resources between users of work teams in the form of reports with Power BI.

About the Program

Provide theoretical and practical content in the specialty of data analysis, aimed at developing coding skills with Python and SQL, to integrate data sets obtained from the various data sources of flat files, web services, web data and databases, which will be explored and analyzed to offer technology services to production and service companies to provide greater perception, control and visibility of data and information in the supply chain, obtain conclusions from the trends of management performance indicators. As well as providing data and information to optimize inventory and logistics related optimization opportunities.

Modules Included

Skills You Will Develop with the Data Analyst Program

Requirements

There are no pre requirements to enroll in the Data Analyst program, but it is recommended that you have previous experience or knowledge in the following areas:

  • Previous experience with programming languages such as C++, C#, VB, Python, JavaScript and others.
  • Creating and manipulating data with Excel files.
  • Knowledge and experience in creating relational and non-relational databases.

During the experience, the student requires the use of applications such as MSSQL, Spyder and Jupyter notebook, for which it is recommended to have a personal computer with the following characteristics:

  • Operating System: Windows 10 or later, macOS, or Linux.
  • 64-bit processor (Intel or AMD) with at least 2 Ghz clock frequency.
  • RAM memory of at least 4 GB (Recommended greater than 8 GB).
  • Hard drive with enough space to store the datasets no less than 1 GB.

Learning Outcomes

With the knowledge that will be acquired and the experience obtained from the laboratories throughout the program, you will be able to cover the following professional opportunities:

  • Data analyst for the information technology sector.
  • Digital analyst in the marketing department.
  • Data architect in Business Intelligence systems, in charge of selecting, organizing and structuring information within different company platforms.
  • Consultant and entrepreneur in the information technology business for the industrial sector.