Back-to-school deals from edX, DataCamp, MasterClass...

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

edX

Data Storage and Processing

ITMO University via edX

Go to class Write review

This course may be unavailable.

Overview

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.

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.

Taught by

Natalia Grafeeva, Elena Mikhailova, Olga Egorova, Anton Boitsev, Aleksei Romanov and Dmitry Volchek

Tags

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Data Storage and Processing

  • Isabella Eva Bigatti
    Very good course, I learn a lot, in particular SQL which I used in IntroML & AdvML of the same teachers. They are always available, kind and helpful. Happy to have followed this class :-)
Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free