Want to Become a Data Analyst 10x Faster?
Learn this 7 Concepts & Tools
(that most gurus won't share)
Here you go ๐
Learn this 7 Concepts & Tools
(that most gurus won't share)
Here you go ๐
In this thread, these are the 7 Concepts I will cover,
with the tools
โ Data Cleaning
โ Data Visualization
โ Probability
โ Linear Regression
โ Time Series Analysis
โ Hypothesis Testing
โ Big Data Analysis
Let's Go! ๐
with the tools
โ Data Cleaning
โ Data Visualization
โ Probability
โ Linear Regression
โ Time Series Analysis
โ Hypothesis Testing
โ Big Data Analysis
Let's Go! ๐
1. Data Cleaning
Data cleaning is the process of
โ identifying and correcting or
โ removing errors,
โ inconsistencies,
โ inaccuracies in data
It is to improve its quality and reliability for analysis.
Tools used:
โ OpenRefine
โ RapidMiner
โ Alteryx
โ IBM InfoSphere
Data cleaning is the process of
โ identifying and correcting or
โ removing errors,
โ inconsistencies,
โ inaccuracies in data
It is to improve its quality and reliability for analysis.
Tools used:
โ OpenRefine
โ RapidMiner
โ Alteryx
โ IBM InfoSphere
2. Data Visualization
Data visualization is the graphical representation of data and information to facilitate
โunderstanding
โanalysis
โcommunication of insights
Tools used:
โTableau,
โMicrosoft Power BI
โQlikView
Open source tools
โ Matplotlib
โ Seaborn
โ Plotly
Data visualization is the graphical representation of data and information to facilitate
โunderstanding
โanalysis
โcommunication of insights
Tools used:
โTableau,
โMicrosoft Power BI
โQlikView
Open source tools
โ Matplotlib
โ Seaborn
โ Plotly
3. Probability
Probability is a branch of mathematics that deals with the likelihood of events occurring in a random or uncertain context.
Tools Used:
Statistical software packages like:
โ R
โ Python's NumPy
โSciPy libraries
Specialized tools like
โ SAS
โ SPSS
โ MATLAB.
Probability is a branch of mathematics that deals with the likelihood of events occurring in a random or uncertain context.
Tools Used:
Statistical software packages like:
โ R
โ Python's NumPy
โSciPy libraries
Specialized tools like
โ SAS
โ SPSS
โ MATLAB.
4. Linear Regression
It is a statistical technique that models the linear relationship between a dependent variable and one or more independent variables to predict
Tools used:
โ SAS
โ SPSS
โ MATLAB
Open Source:
โ NumPy
โ Pandas
It is a statistical technique that models the linear relationship between a dependent variable and one or more independent variables to predict
Tools used:
โ SAS
โ SPSS
โ MATLAB
Open Source:
โ NumPy
โ Pandas
Quick Break:
Here is the Simplest Data Analyst Path for Anyone
You will get:
โ What to Learn Each Day
โ Exact Lessons to become a Data Analyst.
โ Most Frequent Interview Ques
+ Full Python Course
You can get it for $10 today- Normal Price $130
goldsuite.gumroad.com
Here is the Simplest Data Analyst Path for Anyone
You will get:
โ What to Learn Each Day
โ Exact Lessons to become a Data Analyst.
โ Most Frequent Interview Ques
+ Full Python Course
You can get it for $10 today- Normal Price $130
goldsuite.gumroad.com
5. Time Series Analysis
It is a statistical technique that involves modeling and analyzing data that is indexed over time to identify:
โ Patterns
โ Trends
โ Seasonality
โ To make predictions or forecasts
Tools used:
โ SAS
โ MATLAB
Specialized tool:
โ ARIMA modeling in R
It is a statistical technique that involves modeling and analyzing data that is indexed over time to identify:
โ Patterns
โ Trends
โ Seasonality
โ To make predictions or forecasts
Tools used:
โ SAS
โ MATLAB
Specialized tool:
โ ARIMA modeling in R
6. Hypothesis Testing
It is a statistical method that involves formulating and testing a hypothesis about a population parameter using sample data to determine the likelihood that the observed results are due to chance or a real effect.
Specialized Tools used:
โMinitab
โJMP
It is a statistical method that involves formulating and testing a hypothesis about a population parameter using sample data to determine the likelihood that the observed results are due to chance or a real effect.
Specialized Tools used:
โMinitab
โJMP
7. Big Data Analysis
It is the process of extracting insights and knowledge from large, complex, and diverse data sets using advanced tools and technologies
Tools used:
โ Apache Hadoop
โ Apache Spark
Commercial tools:
โ IBM InfoSphere BigInsights
โ Cloudera
โ Hortonworks.
It is the process of extracting insights and knowledge from large, complex, and diverse data sets using advanced tools and technologies
Tools used:
โ Apache Hadoop
โ Apache Spark
Commercial tools:
โ IBM InfoSphere BigInsights
โ Cloudera
โ Hortonworks.
7 Data Analysis Concepts you should know:
โ Data Cleaning
โ Data Visualization
โ Probability
โ Linear Regression
โ Time Series Analysis
โ Hypothesis Testing
โ Big Data Analysis
โ Data Cleaning
โ Data Visualization
โ Probability
โ Linear Regression
โ Time Series Analysis
โ Hypothesis Testing
โ Big Data Analysis
I hope you've found this thread helpful.
Follow me @thegoldsuite for more.
Like & Retweet the first tweet below ๐to share this with others.
Follow me @thegoldsuite for more.
Like & Retweet the first tweet below ๐to share this with others.
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