About this Professional Certificate
The demand for skilled data analysts both in science and industry is constantly growing. Data processing and analysis Professional Certificate Program gives you the necessary knowledge base and useful skills to face data analysis challenges in your professional field.
The first course of the Program covers such concepts of data analytics as data preprocessing and visualization, large datasets management and storage by means of SQL and NoSQL database management systems, data series analysis.
The second course of the program discusses what machine learning is and mainly focuses on the regression problem (linear regression, polynomial and multivariable regression), classification methods (logistic regression, Naïve Bayes and K-nearest neighbors) and clustering methods (hierarchical and k-means clustering).
The last course covers advanced methods of machine learning. You will learn how to analyze large datasets, find regularities in your data, and apply more complicated clusterization and classification techniques. More precisely, you will face with the concept of the factor analysis under the Principal Component Analysis (PCA), learn about support vector machines (SVM) and decision trees for classification, get familiar with some popular resampling methods and apply them to the so-called Ensemble Learning. Finally, you will deal with the problem of reinforcement learning and learn some useful algorithms.
In all courses, practical tasks of each week will refine your understanding of main concepts and enhance your abilities in data engineering.
The program helps you to develop skills that include Excel data analysis, MS Azure Machine Learning Studio and Python Notebooks, Oracle Apex and Mongo DB. MS Excel and database management systems are used in the first course. Two learning tracks are provided in machine learning courses, one for those who have coding experience in Python, while the tasks in the other track are realized in MS Azure for students with no coding experience.
Founded in 1900, ITMO University is the top higher education institution in computer science in Russia, it is a trailblazer shaping national education and research policy in Russia. Higher School of Digital Culture is delighted to share with you its experience in the field of data science as well as in interdisciplinary research.
What you'll learn
- How to preprocess large datasets before the analysis: data cleaning, data smoothing and normalization methods, correct data visualization techniques and time series analysis.
- How to store and process the data by means of SQL and NoSQL database management systems.
- What are the differences between supervised and unsupervised machine learning methods and what is reinforcement learning.
- What are different classification methods (logistic regression, Naïve Bayes and K-nearest neighbors, SVM) and clustering methods (hierarchical and k-means clustering).
- How to reduce the number of variables in a dataset and how to evaluate your model.
From | ITMOx, ITMO University via edX |
---|---|
Hours | 45 |
Instructors | Anton Boitsev, Aleksei Romanov, Dmitry Volchek, Elena Mikhailova, Natalia Grafeeva, Olga Egorova |
Language | English |
Subjects | Data Science Programming |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Courses in this Professional Certificate
Listed in the order in which they should be taken
Starts | Course Information | |
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On Demand |
Advanced methods of machine learning. You will learn how to analyze big amounts of data, to find regularities in your data, to cluster or classify your data. In this course you... edX | ITMOx, ITMO University |
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On Demand |
Introduction to Machine Learning Want to learn how to analyze the huge amounts of data? In this course you will learn modern methods of machine learning to help you choose the right methods to analyze your data... edX | ITMOx, ITMO University |
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On Demand |
Want to learn data processing and interpreting the result you’ve got? This course is for you! Get acquainted with preparing and analyzing large amount of data, as well as data... edX | ITMOx, ITMO University |
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From | ITMOx, ITMO University via edX |
---|---|
Hours | 45 |
Instructors | Anton Boitsev, Aleksei Romanov, Dmitry Volchek, Elena Mikhailova, Natalia Grafeeva, Olga Egorova |
Language | English |
Subjects | Data Science Programming |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Similar Courses
Sorted by relevance