Monday, Friday
7:30 pm – 9:30 pm
42 lessons + 4 exams
In this course, you’ll learn the basics of data science, such as analyzing data, making predictions with machine learning, and even building neural networks. You’ll build projects to help you get ready for working in the field of Data Analytics. Data Analytics course provides all the necessary skills and knowledge to become a data analyst. During the course, the student will gain knowledge about Excel, SQL, Power BI, Tableau, Python, and learn to work with data, analyze and make reports using these tools.
If you want to:
then this course is for you.
before and after the course
Basic knowledge on Excel
Advanced knowledge on Excel
Power BI & Intro to Tableau
Data driven decision making
SQL for Data Analytics
Automating Data Analytics with Python
Calculation and Tables, Home Tab
Page Layout, Review, View
Most frequently used functions
Creating Tables
Updating Tables
Deleting Data and Tables
Introduction to Tableau. Understanding Tableau Concepts
Built-in packages (random, os, request, math)
14 years of experience in the field
Professional trainers
Individual consultation
Assistance in finding a job
Courses for all levels
24,000 graduates
Permanent discount for further lessons
450 successful students per year
Application of successful methods
An objective procedure for selecting students
3 types of certificates
Permanent contact with the student
3 types of certification
Certificate of participation
It is given in case of 49% progress
Certificate of completion
It is given in case of 50-79% progress
Certificate of excellence
It is given in case of 80% + progress
Compilation of a competent CV
Professional Linkedin Page Design
Preparation for the interview with the employer
Mentoring partner organizations in the relevant position
Leave your details if you are from the BDG community
Students
0+
Trainers
0+
Projects
0+
Collaborations
0+
We are trusted by well-established, successful companies that prioritize education. We are certain that education will lead us to success․