Decoding Data Science
with Excel and Tablue
"Decoding Data Science with Excel and Tableau offers a transforma:ve explora:on, unraveling the power of data analysis and visualiza:on for informed decision-making."
Buy Now
Decoding Data Science
with Excel and Tablue
This comprehensive program is Ideal for beginners and experienced individuals,
this program equips you with essential skills for effective data analysis.
From Excel's data handling to Tableau's visualization prowess, master the art of decoding complex datasets and extracting meaningful insights.
Enroll now to seamlessly integrate Excel and Tableau into your analytical toolkit."
25+ Hours Live Sessions
Projects based Evaluation
Expert Talk
Cash Rewards for Top 3% Students
Starts on 22nd Feb 2024 End on 20th March
Our offerings for
Decoding Data Science with Excel and Tablue
Live classes
Project based Evaluation
Cash Rewards*
Meet your
Expert Trainers
Highly seasoned trainers with a wealth of expertise, guiding students through problems with precision and mastery.
Modules for
Decoding Data Science with Excel and Tablue
Module 1
Introduction to Analytics and Excel Stack
o Understanding of Basic Analytics
o Need of Data Analytics
o Applications of Data Analytics
Introduction to Excel
o Understanding Excel Interface Ribbon
(Quick Access Toolbar, Formula Bar)
o Worksheets (Freeze Panes), Workbook,
Format Cell (currency, percentage,
number etc), Templates, Find & Replace,
Shortcuts, Print, Share.
o Data entry and formatting range
(Autofill, Selecting & moving columns,
Hide Columns or Rows, Copy, Past, Past
Special), Insert Row or Column,
Formatting Cells (Font, Colour,
Alignment)
Module 2
Formulae Knowledge Stack Basic Formulas
o Simple arithmetic formulas –Subtract,
Multiply, Divide, Square root, Name
Range, Dynamic Name Range
o TEXT – LOWER, UPPER, PROPER,
TRIM, RIGHT, LEFT, LEN,
TEXTSPLIT, Text to Column by
delimiter, REPLACE, SUBSTITUTE,
TEXT, CONCATENATE
o Round – INT, TRUNC, MROUND,
EVEN, ODD
o Count & SUM - ABS, LEN, COUNT
(Countif, CountA, CountBlank), SUM
o (AutoSum, SUMIF, Running Total,
SUMPRODUCT)
o Logical – IF, OR, Comparison
Operators, IFS, SEARCH, ISUMBER
o Date & Time – TODAY, NOW, Date &
time format, DATEDIF, TIME, Add or
Subtract Time
Advanced Formulas
o Cell references – Copy & pasting
Formulae, Reference & absolute
reference, Union, Percent Change
o Lookups- VLOOKUP, INDEX,
MATCH, XLOOKUP
o Statistical – AVERAGE, AVERAGEIF,
Weighted Average, MODE, STDEV,
STDEV.P, STDEV.S, VAR,
FREQUENCY, MAXIF, MINIF,
FORECAST.LINEAR,
FORECAST.ETS, PERCENTILE,
QUARTILE, RANK, MODE
o Formulae Error – IFERROR, ISERROR
Module 3 (8 Hours)
Data Analysis Stack
o Sort- Custom Sort, SORT,
SORTBY, Nested Sorting
o Filter- FILTER, Number filter, Text
filter, Date filter Advance filter with
Criteria, Remove Duplicates,
SUBTOTAL
o Conditional Formatting- Manage
Rules, Add Data Bars, Add Colour
Scales, Add Icon Sets, Find
Duplicates, Create Heat map
o Tables – Structed References, Quick
Analysis
o Pivot Table – Pivot Chart, Insert
Calculated field
o Power Pivot
o What if Analysis
Analytics
o Find Duplicates
o Regression
o Trendline
o Correlation
o Outlier Detection
o Sparklines
o Quick Analysis
Module 4 (6 Hours)
Basic Charts
o Column Chart
o Bar Chart
o Line Chart
o Pie Chart
o Donot Chart
o Area Chart
o Scatter Plot
o Box Chart
Advanced Charts
o Trendlines
o Custom Combo Charts
o Slicers
o Pivot Chart
o Pareto Chart
Dashboard
o Building Dashboard
o Dynamic Charts
Introduction to Tableau
o Installation of tableau
o Understanding Tableau Interface
Ribbon
o Dashboarding in Tableau
Module 5 (2-4 Hours)
Project