Data Storage and Processing
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assignment Level : Introductory
chat_bubble_outline Language : English
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Key Information

credit_card Free access
verified_user Fee-based Certificate
timer 10 hours in total

About the content

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 storage fundamentals.

This course is an introduction to initial data processing. We will start with data types and sources, methods of data preparation: cleaning, filling in the missing values, data smoothing and normalization. The course will familiarize you with the descriptive statistics and data visualization methods. You will also learn how to analyze time series and find trends.

Get acquainted with the fundamentals of data storage and access: databases types, relational and NoSQL databases, big data initials.

No previous programming knowledge needed.

  • Initial data processing (data cleaning and filling in the missing values)
  • Data smoothing and normalization
  • Data visualization
  • Time series analysis
  • Descriptive statistics
  • Data storage and access by means of relational DBMS
  • NoSQL databases and Big data

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Prerequisite

High school mathematics and basic statistics concepts

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Syllabus

Week 1: Data preprocessing. Basic concepts of data processing. Stages of data analysis (collection, sorting, transformation, building models and interpretation). Data measurements and scales. Data types and sources. Data preparing.

Week 2: Data processing tools and visualization. Digital spreadsheets. Data visualization goals. Methods and purposes of correct data visualization.

Week 3: Data processing. Descriptive statistics. Data normalization and transformation. Time-series analysis and forecasting. Types of time-series smoothing. Trends, seasonal time series modelling.

Week 4: Relational databases management systems. Introduction to relational DBMS starting from relational data model. SQL statements and queries creation. Database indexes and transactions requirements.

Week 5: NoSQL. Main characteristics of not only SQL databases. Non-structured and semi-structured data and scalability of NoSQL databases. Types of NoSQL databases: column-oriented, key-value store, document store and graph databases.

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Instructors

Natalia Grafeeva
Associate Professor at the Higher School of Digital Culture
ITMO University

Elena Mikhailova
Director of Higher School of Digital Culture
ITMO University

Olga Egorova
Assistant Professor at the Higher School of Digital Culture
ITMO University

Anton Boitsev
Associate Professor at the Higher School of Digital Culture
ITMO University

Aleksei Romanov
Associate Professor at the Higher School of Digital Culture
ITMO University

Dmitry Volchek
Associate Professor at the Higher School of Digital Culture
ITMO University

assistant

Platform

Edx

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Published on October 20, 2021
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