Course / Course Details
By - Ing. Tomáš Morávek
No prior experience is required. We will start from the very basics
You’ll need to install Anaconda. We will show you how to do that step by step
Microsoft Excel 2003, 2010, 2013, 2016, or 365
Update 2025: Intro to Data Science module updated for recent AI developments*
The Problem
Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.
However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.
And how can you do that?
Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming)
Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture
The Solution
Data science is a multidisciplinary field. It encompasses a wide range of topics.
Understanding of the data science field and the type of analysis carried out
Mathematics
Statistics
Python
Applying advanced statistical techniques in Python
Data Visualization
Machine Learning
Deep Learning
Understand the Full Data Science Lifecycle
Gain a holistic understanding of the data science process—from data collection and cleaning to analysis, modeling, and communication of results.
Develop a Strong Foundation in Mathematics & Statistics
Master the essential math and statistical concepts required for data analysis, machine learning, and interpreting real-world data.
Program Confidently in Python
Build practical coding skills using Python, the most popular programming language in data science, including hands-on experience with libraries like NumPy, Pandas, Matplotlib, and Scikit-learn.
Apply Advanced Statistical Techniques in Python
Learn to implement probability, inferential statistics, and regression models to derive insights from real data.
Create Powerful Data Visualizations
Use tools like Matplotlib, Seaborn, and Plotly to effectively visualize complex datasets and communicate findings clearly to stakeholders.
AI Technologies is at the forefront of education in the fields of Data Science, Machine Learning, Generative AI, Deep Learning, and related technologies. Founded by industry veteran Krish Naik, who has over 13 years of experience in the data analytics industry and more than 7 years of teaching expertise, our mission is to equip learners with the skills and knowledge required to excel in the rapidly evolving tech landscape.
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