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Data Analytics: Python Programming + AI
Course details
Beginner Friendly
The course will be held in English
Lectures are live - in real time with the lecturer (+ recordings of AI e-lectures)
The course will be held remotely (online)
Duration: 100 hours, 34 days
Time: 3 times a week, 3 hours each, from 7:30 pm - 10:30 pm (UTC +2 time zone) in the evenings
Conquer Data Analytics and Python programming with our beginner-friendly program. Throughout the course, you will master SQL basics and IDE navigation, delving into data manipulation with operators and functions. Choose this course to learn advanced techniques like joins, subqueries, and data modeling for comprehensive analytics skills. Together with an experienced lecturer, you will explore Power BI/Tableau to create impactful visualizations, manipulate data with Power Query and M Language, and design dimensional models like star schemas. Gain hands-on experience through practical exercises and a final project, combining Python fundamentals with Data Analytics for a successful career in both fields.
€1530
2,8 months
100 hours
34 lessons
Register
2025 06 09
2025 08 11
2,8 months
100 hours
34 lessons
Study without burnout
Currently, people are viewing this course
2025 06 09
2025 08 11
K2 College Extras
Mental Fitness package
Free reentries
Money-back guarantee
Personal time with the lecturer
International diploma
Individual career consultations
Career center access
Real-time online training
Lifetime access to the materials
Your Journey to the Top
Introduction to Data Analytics and SQL Basics
SQL Queries: SELECT, ORDER BY, and GROUP BY
SQL: Joins, Subqueries, and Data Manipulation
Introduction to Power BI/Tableau and Basic Visualizations
Power BI/Tableau: Data Transformation and Modeling
Introduction to Python and Programming Basics
Python Data Handling with Pandas
Python Data Visualization with Matplotlib
Final project
Improve mental clarity and focus.
Foster resilience to handle academic and professional pressures.
Develop stress management techniques to enhance performance.
Promote balanced life habits to sustain long-term success
Build self-confidence and motivation
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Sneak peek into the training
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30 min
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What you will learn
Become a data analyst who can turn variables into world-changing insights. We've designed this program based on real-life cases and the skillset valued by top companies around the globe.
We have sollution
K2College is the first in the world to integrate Mental Fitness into tech bootcamps.
Learn in real time. Stay resilient. Come back to refresh anytime – once a K2 student, always part of our learning community.
Data Analytics and SQL Basics
Learn the basics of data analytics and SQL (Structured Query Language), set up and configure your development environment for SQL, and prepare for a deeper dive into the topic.
SQL Queries for Data Analysis
Practice writing advanced SQL queries to extract meaningful insights from databases, selecting specific data, ordering results, and grouping data.
Introduction to Power BI/Tableau and Basic Visualizations
Understand the fundamentals of Business Intelligence (BI) and its role in data analysis, navigate Power BI/Tableau interface and create basic visualizations to present data effectively.
Power BI/Tableau: Data Transformation and Modeling
Dive deeper into Power BI/Tableau capabilities, focusing on data transformation using M Language and Power Query. Learn dimensional modeling techniques for data analysis.
Introduction to Python and Programming Basics
Acquire essential programming skills with Python, covering basic syntax, variables, and data types. Set up Python in different environments and gain proficiency in writing Python scripts.
Python Data Handling with Pandas
Develop data manipulation and analysis skills using the Pandas library and perform data operations such as filtering, aggregation, and cleaning.
Python Data Visualization with Matplotlib
Learn to visualize data effectively using Matplotlib, a powerful plotting library in Python, create various plots, and customize them to communicate insights from data.
Introduction to Natural Language Processing (NLP) with NLTK
Explore the basics of NLP using the NLTK (Natural Language Toolkit) library and gain hands-on experience in text processing, tokenization, and sentiment analysis with Python.
Final Project
Apply all the skills and knowledge acquired throughout the course. Work on a real-world data analysis or visualization project to demonstrate your SQL, Power BI/Tableau, and Python proficiency.
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All Payment Options
-10%
Upfront payment
Pay the full program price upfront and enjoy a 10% discount! Secure your spot and focus on your learning without the hassle of ongoing payments.
Enjoy flexible, manageable payments each month while you study. Start learning today with our convenient pay-as-you-learn option!
-5%
Paid by the company you work in
The company you work for can pay for your training by getting a 5% discount.
Meet our Climbers
Nothing inspires more than a success story. And here’s just a few we’ve guided over the years.
Edgaras Miliauskas
Lithuania
Study without burnout
The training went really well, and the lecturers left nothing but good feedback. The training provided a fundamental introduction to three tools: SQL, PowerBI and Python. I found a job within a month, maybe a month and a half.
Līga Avotiņa
Latvia
Study without burnout
Thank you for the professional, fun, and well-organised courses. Thank you for your insight into each project, your individual approach, encouragement, and help. It is a great pleasure and satisfaction that you have invited me into the design world!
Artūrs Svīķis
Latvia
Study without burnout
Very good school with excellent, knowledgeable teachers. Keep in mind that you have spend your free time developing skills and be self-disciplined. How good a programmer you will be is up to you and your interest in programming.
Saulė Rudokaitė-Mieliauskė
Lithuania
Study without burnout
I've completed the Data Analytics Course. It was an intense journey where I learned SQL, Power BI, and the basics of Python. I was very satisfied with the course quality and the whole experience. My lectutrer's strong teaching skills, expertise, and patience made the learning experience truly enjoyable. Learning from a professional was an honour.
Vaidas Šipelis
Lithuania
Study without burnout
I really liked the length of the training programme. It went very well, and one of the reasons why I liked the training so much was that lecturer was a very good lecturer and mentor. I increased my existing knowledge of front-end programming, and I also learned back-end technologies and database management.
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