﻿<?xml version="1.0" encoding="utf-8"?>
<!--<!DOCTYPE nitf SYSTEM "nitf-3-4.dtd">-->
<nitf>
  <head>
    <title id="Title">#Title</title>
    <docdata management-doc-idref="">
      <date.issue id="CreationDate" norm="" />
      <du-key id="rev-ver" generation="1" version="Default" />
      <du-key id="Parent-Version" version="" />
      <identified-content>
        <classifier id="newspro-nitf" value="r2" />
        <classifier id="Newspro-App" value="Epaper" />
        <classifier id="Content-Type" value="Story" />
        <classifier id="storyID" value="" />
        <classifier id="CmsConID" value="" />
        <classifier id="Desk" value="" />
        <classifier id="Source" value="" />
        <classifier id="Edition" value="" />
        <classifier id="Category" value="-1" />
        <classifier id="UserName" value="" />
        <classifier id="PublicationDate" value="23/10/2026" />
        <classifier id="PublicationName" value="HI" />
        <classifier id="IsPublished" value="Y" />
        <classifier id="IsPlaced" value="Y" />
        <classifier id="IsCompleated" value="N" />
        <classifier id="IsProofed" value="N" />
        <classifier id="User" value="" />
        <classifier id="Headline-Count" value="" />
        <classifier id="Slug-Count" value="0" />
        <classifier id="Photo-Count" value="0" />
        <classifier id="Caption-Count" value="0" />
        <classifier id="Word-Count" value="0" />
        <classifier id="Character-Count" value="0" />
        <classifier id="Location" value="" />
        <classifier id="TemplateType" value="1" />
        <classifier id="StoryType" value="Story" />
        <classifier id="Author" value="" />
        <classifier id="UOM" value="mm" />
        <classifier id="NumCol" value="0" />
        <classifier id="kicker" value="" />
        <classifier id="ByLine" value="" />
        <classifier id="DateLine" value="" />
        <classifier id="box-geometry" value="619,961,955,1481" />
        <classifier id="Layer" value="Default" />
        <classifier id="numcol" value="3" />
        <classifier id="ArticleStyle" value="" />
        <classifier id="Epaper-Build" value="7.96.0.0" />
        <classifier id="ProcessingDateTime" value="Thu Oct 22 2026 22:15:30 GMT+0530" />
      </identified-content>
      <urgency id="home-page" ed-urg="0" />
      <urgency id="priority" ed-urg="0" />
      <doc-scope id="scope" value="0" />
    </docdata>
    <pubdata type="print" name="HI" date.publication="20261023T000000+5.30" edition.name="WGL" edition.area="WGL" position.section="23MAIN11FWGL" position.sequence="11" ex-ref="23MAIN11FWGL.indd" />
  </head>
  <body boxBorderWeightColor="" boxBorderWeight="">
    <body.head>
      <hedline>
        <hl1 id="Headline1" class="1" style="Headline1">
          <lang class="3" style="Headline1" font="Chronicle Display" fontStyle="Italic" size="35">Free data engineering course for unemployed graduates</lang>
        </hl1>
      </hedline>
    </body.head>
    <body.content id="Bodytext" CaptionAsBody="0">
      <block>
        <media id="1" media-type="image">
          <media-reference id="tn" source-credit="" data-location="1" source="YH1c_11_WGL_tn.jpg" Units="pixels" width="50" height="50"></media-reference>
        </media>
      </block>
      <p style=".Bodylaser">
        <lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">Hans News Service</lang>
      </p>
      <p style=".Bodylaser">
        <lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">The Sri Sathya Sai Dakshata Program has announced a free 90-day Data Engineering course for unemployed graduates in Telangana, aimed at helping them develop industry-relevant skills and improve their employment prospects.</lang>
      </p>
      <p style=".Bodylaser">
        <lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">The programme is open to graduates who passed out between 2022 and 2026 with degrees in MSc, B.Tech, M.Tech or MCA. Classes will be conducted offline near Khairatabad Metro Station in Hyderabad, with training led by faculty members with three decades of teaching experience.</lang>
      </p>
      <p style=".Bodylaser">
        <lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">The course covers basic and advanced Python, SQL, artificial intelligence tools, soft skills and career counselling. The programme is designed to provide practical training in data engineering and help participants prepare for employment opportunities in the technology sector.</lang>
      </p>
      <p style=".Bodylaser">
        <lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">Successful candidates will also receive placement assistance after completing the course. According to the organisers, more than 100 students from a previous batch of over 350 underprivileged graduates secured placements in companies.</lang>
      </p>
      <p style=".Bodylaser">
        <lang class="3" style=".Bodylaser" font="Minion Pro" fontStyle="Regular" size="9">The initiative seeks to address skill gaps amongunemployed graduates and expand access to technical training, particularly for those facing financial barriers to professional education.</lang>
      </p>
    </body.content>
  </body>
</nitf>