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From: Skills Training <skills@datastat.co.ke>
Date: Thu, 07 Mar 2024 13:06:33 +0000
Subject: Data analytics using Python Training
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<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in 0in 8pt; =
LINE-HEIGHT: 16.9pt"><B><SPAN=20
style=3D'FONT-FAMILY: "Times New Roman",serif; COLOR: black; mso-color=
-alt: windowtext'>Introduction</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif'><o:p=
></o:p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in; LINE-HEI=
GHT: 16.9pt"><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; COLO=
R: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning=
: 0pt; mso-color-alt: windowtext'>Python=20
has been one of the most adaptable, and robust open-source languages t=
hat are=20
easy to learn and uses powerful libraries for data manipulation and an=
alysis.=20
For many years now, Python has been used in scientific computing and=20
mathematical domains such as physics, finance, oil and gas, and signal=
=20
processing. This Big Data Analytics with Python course provides a comp=
lete=20
overview of data analysis techniques using Python. The Big Data Analyt=
ics with=20
Python course teaches you to master the concepts of Python programming=
. Through=20
this training, you will gain knowledge of the essential tools of Data =
Analytics=20
with Python.</SPAN><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
o:p></SPAN></P>
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style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in 0in 8pt; =
LINE-HEIGHT: 16.9pt"><B><SPAN=20
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></B></P>
<P class=3DMsoNormal style=3D"BACKGROUND: white; MARGIN: 0in 0in 7.5pt=
"><B><U><SPAN=20
style=3D'FONT-FAMILY: "Times New Roman",serif; COLOR: black; mso-color=
-alt: windowtext'>Duration</SPAN></U></B><U><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; LINE=
-HEIGHT: 107%'><o:p></o:p></SPAN></U></P>
<P class=3DMsoNormal style=3D"BACKGROUND: white; MARGIN: 0in 0in 7.5pt=
"><SPAN=20
style=3D'FONT-FAMILY: "Times New Roman",serif; COLOR: black; mso-color=
-alt: windowtext'>5=20
Days</SPAN><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p></o:p></SPAN></P>
<P class=3DMsoNormal style=3D"BACKGROUND: white; MARGIN: 0in 0in 7.5pt=
"><B=20
style=3D"mso-bidi-font-weight: normal"><U><SPAN=20
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PAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; COLO=
R: black; LINE-HEIGHT: 107%; mso-color-alt: windowtext'>=20
900 USD</SPAN><SPAN=20
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-HEIGHT: 107%'><o:p></o:p></SPAN></P>
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R: black; LINE-HEIGHT: 107%; mso-color-alt: windowtext'>:=20
600USD</SPAN><SPAN=20
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Z3z41tgYz3HfcW_qDn1BJAg9VZVeRkX0LzUAlHCNQqIrzoaN9iPnSS-m3frnwj3qZP-VNZ=
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<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in 0in 8pt; =
LINE-HEIGHT: 16.9pt"><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif'><o:p=
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<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in; LINE-HEI=
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R: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning=
: 0pt; mso-color-alt: windowtext'>Day=20
1: Introduction to Big Data and Python</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
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<UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
  <LI class=3DMsoNormal=20
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ist: l0 level1 lfo1; tab-stops: list .5in"><SPAN=20
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ng: 0pt; mso-color-alt: windowtext'>Morning:</SPAN><SPAN=20
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o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
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    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l0 level2 lfo1; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Welcome=20
    and Introduction to the Course</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l0 level2 lfo1; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Overview=20
    of Big Data and its Challenges</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l0 level2 lfo1; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Introduction=20
    to Python for Data Analytics</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l0 level2 lfo1; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Setting=20
    up Python Environment (Anaconda, Jupyter Notebook)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l0 level1 lfo1; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Afternoon:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l0 level2 lfo1; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Basic=20
    Python Programming Concepts (Variables, Data Types, Loops,=20
    Functions)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l0 level2 lfo1; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Introduction=20
    to Pandas (DataFrames and Series)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL></UL>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in; LINE-HEI=
GHT: 16.9pt"><B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; COLO=
R: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning=
: 0pt; mso-color-alt: windowtext'>Day=20
2: Data Manipulation and Preprocessing</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l4 level1 lfo2; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Morning:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l4 level2 lfo2; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Data=20
    Cleaning and Handling Missing Values</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l4 level2 lfo2; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Data=20
    Transformation (e.g., filtering, sorting, merging)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l4 level2 lfo2; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Data=20
    Visualization with Matplotlib and Seaborn</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l4 level1 lfo2; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Afternoon:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l4 level2 lfo2; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Introduction=20
    to NumPy for Numerical Operations</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l4 level2 lfo2; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Exploratory=20
    Data Analysis (EDA)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l4 level2 lfo2; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Case=20
    Study: Exploring a Real-world Dataset</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL></UL>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in; LINE-HEI=
GHT: 16.9pt"><B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; COLO=
R: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning=
: 0pt; mso-color-alt: windowtext'>Day=20
3: Big Data Tools and Distributed Computing</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l1 level1 lfo3; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Morning:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l1 level2 lfo3; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Introduction=20
    to Big Data Technologies (Hadoop, Spark)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l1 level2 lfo3; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Overview=20
    of HDFS (Hadoop Distributed File System)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l1 level2 lfo3; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Setting=20
    up a Hadoop/Spark Cluster (Local or Cloud)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l1 level1 lfo3; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Afternoon:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l1 level2 lfo3; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Introduction=20
    to PySpark</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l1 level2 lfo3; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Working=20
    with RDDs (Resilient Distributed Datasets)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l1 level2 lfo3; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Basic=20
    Data Processing with PySpark</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL></UL>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in; LINE-HEI=
GHT: 16.9pt"><B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; COLO=
R: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning=
: 0pt; mso-color-alt: windowtext'>Day=20
4: Advanced Data Analytics with Python</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l3 level1 lfo4; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Morning:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l3 level2 lfo4; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Machine=20
    Learning with Scikit-Learn</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l3 level2 lfo4; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Model=20
    Training and Evaluation</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l3 level2 lfo4; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Feature=20
    Engineering</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l3 level1 lfo4; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Afternoon:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l3 level2 lfo4; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Introduction=20
    to Deep Learning with TensorFlow/Keras</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l3 level2 lfo4; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Neural=20
    Networks and Deep Learning Concepts</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l3 level2 lfo4; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Hands-on=20
    Deep Learning Exercise</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL></UL>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in; LINE-HEI=
GHT: 16.9pt"><B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; COLO=
R: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning=
: 0pt; mso-color-alt: windowtext'>Day=20
5: Big Data Analytics and Conclusion</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
o:p></SPAN></P>
<UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l2 level1 lfo5; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Morning:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l2 level2 lfo5; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Large-scale=20
    Data Processing with PySpark</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l2 level2 lfo5; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Building=20
    Data Pipelines</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l2 level2 lfo5; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Real-time=20
    Data Processing (Optional)</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL>
  <LI class=3DMsoNormal=20
  style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso-l=
ist: l2 level1 lfo5; tab-stops: list .5in"><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; CO=
LOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-kerni=
ng: 0pt; mso-color-alt: windowtext'>Afternoon:</SPAN><SPAN=20
  style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; ms=
o-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p>=
</o:p></SPAN></LI>
  <UL style=3D"MARGIN-TOP: 0in" type=3Ddisc>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l2 level2 lfo5; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Final=20
    Project: Applying Big Data Analytics on a Real Dataset</SPAN><SPAN=
=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l2 level2 lfo5; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Presentation=20
    of Projects</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l2 level2 lfo5; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Q&amp;A=20
    Session</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI>
    <LI class=3DMsoNormal=20
    style=3D"BACKGROUND: white; MARGIN: 0in; LINE-HEIGHT: 15.75pt; mso=
-list: l2 level2 lfo5; tab-stops: list 1.0in"><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
COLOR: black; mso-fareast-font-family: "Times New Roman"; mso-font-ker=
ning: 0pt; mso-color-alt: windowtext'>Course=20
    Conclusion and Certification</SPAN><SPAN=20
    style=3D'FONT-SIZE: 10.5pt; FONT-FAMILY: "Times New Roman",serif; =
mso-fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:=
p></o:p></SPAN></LI></UL></UL>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in 0in 0in 0=
.25in; LINE-HEIGHT: 18pt"><B><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning: =
0pt; mso-color-alt: windowtext'>Methodology</SPAN></B><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
o:p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in 0in 0in 0=
.25in; LINE-HEIGHT: 18pt"><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; COLOR:=
 black; mso-fareast-font-family: "Times New Roman"; mso-font-kerning: =
0pt; mso-color-alt: windowtext'>The=20
instructor led trainings are delivered using a blended learning approa=
ch and=20
comprises of presentations, guided sessions of practical exercise, web=
-based=20
tutorials and group work. Our facilitators are seasoned industry exper=
ts with=20
years of experience, working as professional and trainers in these=20
fields.</SPAN><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif; mso-=
fareast-font-family: "Times New Roman"; mso-font-kerning: 0pt'><o:p></=
o:p></SPAN></P>
<P class=3DMsoNormal=20
style=3D"BACKGROUND: white; TEXT-ALIGN: justify; MARGIN: 0in 0in 8pt; =
LINE-HEIGHT: 16.9pt"><SPAN=20
style=3D'FONT-SIZE: 11.5pt; FONT-FAMILY: "Times New Roman",serif'><o:p=
>&nbsp;</o:p></SPAN></P>
<P class=3DMsoNormal style=3D"MARGIN: 0in 0in 8pt"><SPAN=20
style=3D'FONT-SIZE: 12pt; FONT-FAMILY: "Times New Roman",serif; LINE-H=
EIGHT: 107%'><o:p>&nbsp;</o:p></SPAN></P>
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