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What Do You Mean By Data Analysis..?
● Data Analysis is also known as analysis of
data or data analytics.
● It is a process of inspecting, cleansing,
transforming, and modeling data with the
goal of discovering useful information,
suggesting conclusions, and supporting
decision-making.
● It is a process of evaluating data using
analytical and logical reasoning to examine
each component.
Different Types of Data Analysis
Several data analysis techniques
exist encompassing various
domains such as business, science,
social science, etc. with a variety of
names.
Data Mining
Business Intelligence
Statistical Analysis
Predictive Analysis
Text Analysis
Importance of Data Analysis
● It helps in structuring the findings from different sources of data.
● It is very helpful in breaking a macro problem into micro parts.
● Its like a filter when it comes to acquiring meaningful insights out of huge data
set.
● It helps in keeping human bias away from the research conclusion with the
help of proper statistical treatment.
● Used to verify our results whether it is valid, reproducible and
unquestionable.
Data Analysis Process
Data Requirement
Data Collection
Data Processing
Data Cleaning
Data Analysis
Communication
Top – Down Approach
Data Analysis Techniques
● Comparison Analysis used to
measure the financial relationship
between over two or more
reporting period.
● Ranking Analysis refers to data
transformation where numerical
values are replaced by their rank
when data are sorted.
● Trend Analysis tries to predict the future movement of stock based on past
data. It actually gives ideas to traders about what will happen in future based
on past results.
Data Analysis Techniques Contd...
● Varience Analysis is quantitaive
investigation of the difference
between actual and planned
behavior.
● Frequency Analysis is the study of
the frequency of letters or group of
letters in a ciphertext.
● Contribution Analysis is step by step approach to assess about the
contribution a program has made to some particular goal. It analyses the
effect of the internal and external factors in contribution.
Data Analysis Techniques Contd...
● Correlation Analysis is a method of statistical evaluation used to study the
strength of a relationship between two, numerically measured, continuous
variables
● Pareto Analysis is a statistical technique in decision-making used for the
selection of a limited number of tasks that produce significant overall effect.
Learn Data Analysis
● If you want to an easy and simple way to understand data, then we’ve got just
the Course For You!
● You don’t need to opt for expensive or complicated, you can do a whole lot
with just Microsoft Excel. It has a lot of great functions that can help you
analyze data, as well as create some epic presentations.
●
See next the Topics Covered by Course.
Topics Covered By Course
● SECTION 1 : Introduction
● SECTION 2 : Preparing Data for
Analysis
● SECTION 3 : Data Analysis - Key
Metrics
● SECTION 4 : Comparison Analysis
● SECTION 5 : Trend Analysis
● SECTION 6 : Ranking Analysis
Topics Covered By Course Contd...
● SECTION 7 : Interactive Dashboard
Creation
● SECTION 8 : Variance Analysis
● SECTION 9 : Contribution Analysis
● SECTION 10 : Frequency Analysis
● SECTION 11 : Correlation Analysis
● SECTION 12 : Pareto Analysis
Eduonix Introduces
Complete Introduction to Business Data Analysis @ $15
To Get this Course at $15 Use Coupon Code : EDU15
● Lectures: 39
● Video: 04 hours
● Language: English
● Includes: 30 day money back
guarantee!
Certificate of
Completion.
Lifetime Access.
Reference Link : https://goo.gl/ixqPqv
STAY TUNED....!!!
For Forthcoming Data Science Courses
@ Eduonix
Connect with us on Social Platform
Thank You!!!

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Complete Introduction to Business Data Analysis

  • 1.
  • 2. What Do You Mean By Data Analysis..? ● Data Analysis is also known as analysis of data or data analytics. ● It is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. ● It is a process of evaluating data using analytical and logical reasoning to examine each component.
  • 3. Different Types of Data Analysis Several data analysis techniques exist encompassing various domains such as business, science, social science, etc. with a variety of names. Data Mining Business Intelligence Statistical Analysis Predictive Analysis Text Analysis
  • 4. Importance of Data Analysis ● It helps in structuring the findings from different sources of data. ● It is very helpful in breaking a macro problem into micro parts. ● Its like a filter when it comes to acquiring meaningful insights out of huge data set. ● It helps in keeping human bias away from the research conclusion with the help of proper statistical treatment. ● Used to verify our results whether it is valid, reproducible and unquestionable.
  • 5. Data Analysis Process Data Requirement Data Collection Data Processing Data Cleaning Data Analysis Communication Top – Down Approach
  • 6. Data Analysis Techniques ● Comparison Analysis used to measure the financial relationship between over two or more reporting period. ● Ranking Analysis refers to data transformation where numerical values are replaced by their rank when data are sorted. ● Trend Analysis tries to predict the future movement of stock based on past data. It actually gives ideas to traders about what will happen in future based on past results.
  • 7. Data Analysis Techniques Contd... ● Varience Analysis is quantitaive investigation of the difference between actual and planned behavior. ● Frequency Analysis is the study of the frequency of letters or group of letters in a ciphertext. ● Contribution Analysis is step by step approach to assess about the contribution a program has made to some particular goal. It analyses the effect of the internal and external factors in contribution.
  • 8. Data Analysis Techniques Contd... ● Correlation Analysis is a method of statistical evaluation used to study the strength of a relationship between two, numerically measured, continuous variables ● Pareto Analysis is a statistical technique in decision-making used for the selection of a limited number of tasks that produce significant overall effect.
  • 9. Learn Data Analysis ● If you want to an easy and simple way to understand data, then we’ve got just the Course For You! ● You don’t need to opt for expensive or complicated, you can do a whole lot with just Microsoft Excel. It has a lot of great functions that can help you analyze data, as well as create some epic presentations. ● See next the Topics Covered by Course.
  • 10. Topics Covered By Course ● SECTION 1 : Introduction ● SECTION 2 : Preparing Data for Analysis ● SECTION 3 : Data Analysis - Key Metrics ● SECTION 4 : Comparison Analysis ● SECTION 5 : Trend Analysis ● SECTION 6 : Ranking Analysis
  • 11. Topics Covered By Course Contd... ● SECTION 7 : Interactive Dashboard Creation ● SECTION 8 : Variance Analysis ● SECTION 9 : Contribution Analysis ● SECTION 10 : Frequency Analysis ● SECTION 11 : Correlation Analysis ● SECTION 12 : Pareto Analysis
  • 12. Eduonix Introduces Complete Introduction to Business Data Analysis @ $15 To Get this Course at $15 Use Coupon Code : EDU15 ● Lectures: 39 ● Video: 04 hours ● Language: English ● Includes: 30 day money back guarantee! Certificate of Completion. Lifetime Access. Reference Link : https://goo.gl/ixqPqv
  • 13. STAY TUNED....!!! For Forthcoming Data Science Courses @ Eduonix
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