The emphasis in this course is on hands-on and practical learning. It is also intended to get you started with performing SQL access in a data science environment. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language.
A working knowledge of databases and SQL is a must if you want to become a data scientist. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. Much of the world's data resides in databases.
#Sql bi tools software
This course is ideal for data engineers, data scientists, software developers, and cloud practitioners who want to get familiar with frequently used commands on Linux, MacOS and other Unix-like operating systems as well as get started with creating shell scripts. You will also schedule cron jobs using crontab. You will create simple to more advanced shell scripts that involve Metacharacters, Quoting, Variables, Command substitution, I/O Redirection, Pipes & Filters, and Command line arguments. You will work with general purpose commands like id, date, uname, ps, top, echo, man directory management commands such as pwd, cd, mkdir, rmdir, find, df file management commands like cat, wget, more, head, tail, cp, mv, touch, tar, zip, unzip access control command chmod text processing commands - wc, grep, tr as well as networking commands - hostname, ping, ifconfig and curl.
#Sql bi tools how to
You will learn how to interact with the Linux Terminal, execute commands, navigate directories, edit files, as well as install and update software.
#Sql bi tools download
You will have no-charge access to a virtual Linux server that you can access through your web browser, so you don't need to download and install anything to perform the labs. The course includes both video-based lectures as well as hands-on labs to practice and apply what you learn. It teaches you the basics of Bash shell scripting to automate a variety of tasks. This course provides a practical introduction to Linux and commonly used Linux / UNIX shell commands. The only pre-requisites for this specialization are basic computer and data literacy, and a passion to self-learn online. While you will benefit from some prior programming experience, it is not absolutely necessary for this course. Every course has numerous hands-on labs as well as a course project. Note that this specialization has a significant emphasis on hands-on practice employing real tools used by data professionals.
You also create interactive reports and dashboards to derive insights from data in your warehouse.
In the final course you learn about Data Lakes, Data Marts as well as work with Data Warehouses. You continue your journey by learning to build and automate ETL, ELT and data pipelines using BASH scripts, Apache Airflow and Apache Kafka. Next you learn to use essential Linux commands and create basic shell scripts. In the first course you learn the basics of SQL and how to query relational databases with this powerful language. The program consists of four online courses. This Specialization is designed to provide career relevant knowledge and skills for anyone wanting to pursue a job role in domains such as Data Engineering, Data Management, BI or Data Analytics.
Professionals with SQL, ETL, Enterprise Data Warehousing (EDW), Business Intelligence (BI) and Data Analysis skills are in great demand.
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