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    <title>DEV Community: leslie angu</title>
    <description>The latest articles on DEV Community by leslie angu (@leslie_angu_).</description>
    <link>https://dev.to/leslie_angu_</link>
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      <title>DEV Community: leslie angu</title>
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      <title>Venturing into the data space</title>
      <dc:creator>leslie angu</dc:creator>
      <pubDate>Sat, 30 May 2026 12:20:50 +0000</pubDate>
      <link>https://dev.to/leslie_angu_/venturing-into-the-data-space-22nn</link>
      <guid>https://dev.to/leslie_angu_/venturing-into-the-data-space-22nn</guid>
      <description>&lt;h2&gt;
  
  
  Week 1: &lt;strong&gt;Basic fundamentals&lt;/strong&gt;
&lt;/h2&gt;

&lt;h3&gt;
  
  
  Day 1: Introduction to Data Analytics, Data Science, Data Engineering and AI.
&lt;/h3&gt;

&lt;p&gt;Data is raw unorganized collection of facts, observations or symbols.&lt;br&gt;
Types of data analytics and the data careers in this fields.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Prescriptive Analytics: &lt;em&gt;What should we do about it?&lt;/em&gt;
This is a branch of data that deals with prediction of future outcomes       but also recommends the optimal course of action to take.&lt;/li&gt;
&lt;li&gt;Descriptive Analytics: &lt;em&gt;What happened?&lt;/em&gt;
Summarizes raw historical data into easily readable metrics, charts and reports.&lt;/li&gt;
&lt;li&gt;Predictive Analytics: &lt;em&gt;What is likely to happen?&lt;/em&gt;
Use historical data alongside statistical models and machine learning algorithms to identify trends and to forecast future probabilities.&lt;/li&gt;
&lt;li&gt;Diagnostic Analytics: &lt;em&gt;Why did it happen?&lt;/em&gt;
Involves drilling down into historical data to identify the root causes of specific trends, anomalies, or performance dips.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Tools that were installed and their purpose in data.&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;&lt;p&gt;DBeaver : This is a data base management tool.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Vscode: This is an intergrated development environment (IDE), this is where the coding takes place.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Python: This is the most preffered language for data analysis.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;Github &amp;amp; Git: Git is a tool used to keep track of the changes made to a file and Github is the repository that has a copy of the files that are in the IDE.&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;h3&gt;
  
  
  Day 2: Dealing with DBMS &amp;amp; Git
&lt;/h3&gt;

&lt;p&gt;I managed to connect two databases to DBeaver. The first was aiven- I had set up postgresql and the credentials were generated which was straighforward. The second was postgresql which was running locally on my pc, which required the database name - postgres, password and port: 5432&lt;/p&gt;

&lt;p&gt;I already had a github account and it was connected to the git on my local machine. I managed to learn a few more git commands that I hadn't used before like git status.&lt;/p&gt;

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      <category>git</category>
      <category>virtualmachine</category>
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