Landing Your First Data Analysis Job is Hard!!
→ You have no experience,
→ You have no expertise,
→ You have nothing to show
(only a certificate)
So Let me show you,
The Easiest Way to Land your First Data Analysis Job. 👇
→ You have no experience,
→ You have no expertise,
→ You have nothing to show
(only a certificate)
So Let me show you,
The Easiest Way to Land your First Data Analysis Job. 👇
If you know what Employers want, it is not hard.
In this thread, I will show you what employers want
+
How you can present it.
To present your Data Analysis skills, you need a
"PORTFOLIO"
In this thread, I will show you what employers want
+
How you can present it.
To present your Data Analysis skills, you need a
"PORTFOLIO"
Let me tell you how important it is to build a portfolio
A strong portfolio allows:
→ To show project experiences
→ Employers to understand the candidate
→ To show relevant achievements and capabilities
→ To demonstrate technical and analytical abilities
A strong portfolio allows:
→ To show project experiences
→ Employers to understand the candidate
→ To show relevant achievements and capabilities
→ To demonstrate technical and analytical abilities
Now, Let's get into the specific skills that employers demand from you.
1. Data Analysis &Visualization
Employers' expectations from you:
→ Collect & clean data
→ Conduct exploratory data analysis
→ Create visualizations
→ Communicate insights
→ Maintain data accuracy
1. Data Analysis &Visualization
Employers' expectations from you:
→ Collect & clean data
→ Conduct exploratory data analysis
→ Create visualizations
→ Communicate insights
→ Maintain data accuracy
2. SQL and Database Management
Employers' expectations from you:
→ Writing and executing complex SQL queries
→ Designing and implementing data storage solutions
→ Managing and maintaining databases
→ Data cleaning, merging and transforming data using SQL.
cont...
Employers' expectations from you:
→ Writing and executing complex SQL queries
→ Designing and implementing data storage solutions
→ Managing and maintaining databases
→ Data cleaning, merging and transforming data using SQL.
cont...
→ Using SQL to generate reports and perform data analysis
→ Optimizing database performance
→ Monitoring and ensuring data security and privacy
→ Collaborating and build integrate databases with other systems.
→ Documenting database systems and processes.
→ Optimizing database performance
→ Monitoring and ensuring data security and privacy
→ Collaborating and build integrate databases with other systems.
→ Documenting database systems and processes.
3. Data Mining & Data Cleansing
Employers' expectations from you:
→ Collect and import data from various sources
→ Clean & preprocess data to handle missing values, outliers, and inconsistencies
→ Perform data exploration to identify patterns, relationships, & anomalies
Employers' expectations from you:
→ Collect and import data from various sources
→ Clean & preprocess data to handle missing values, outliers, and inconsistencies
→ Perform data exploration to identify patterns, relationships, & anomalies
→ Use data mining techniques to uncover hidden insights from the data
→ Transform & reshape data to a suitable format for analysis
→ Use data cleansing techniques to correct errors & duplicate entries
→ Validate data quality and accuracy
→ Transform & reshape data to a suitable format for analysis
→ Use data cleansing techniques to correct errors & duplicate entries
→ Validate data quality and accuracy
4. Statistical Modeling
Employers' expectations from you:
→ Design & implement statistical models to analyze data and identify patterns.
→ Clean, prepare, & manipulate data for statistical analysis.
→ Conduct hypothesis testing & make inferences based on data.
Employers' expectations from you:
→ Design & implement statistical models to analyze data and identify patterns.
→ Clean, prepare, & manipulate data for statistical analysis.
→ Conduct hypothesis testing & make inferences based on data.
→ Test and validate models for accuracy and reliability
→ Monitor and assess the effectiveness of models over time
→ Develop predictive models to forecast future trends and outcomes.
→ Interpret & communicate statistical results to non-technical stakeholders.
→ Monitor and assess the effectiveness of models over time
→ Develop predictive models to forecast future trends and outcomes.
→ Interpret & communicate statistical results to non-technical stakeholders.
Quick break:👇
If you are a person who wants to become a Professional Data Analyst,
Here is how you can achieve it. 👇
You can get it free today.
goldsuite.gumroad.com
If you are a person who wants to become a Professional Data Analyst,
Here is how you can achieve it. 👇
You can get it free today.
goldsuite.gumroad.com
5. Data Story Telling
Employers' expectations from you:
→ Identifying key insights and trends in data
→ Creating visualizations to effectively communicate findings
→ Presenting data insights
→ Using data to drive business decisions and recommend actions
Employers' expectations from you:
→ Identifying key insights and trends in data
→ Creating visualizations to effectively communicate findings
→ Presenting data insights
→ Using data to drive business decisions and recommend actions
→ Communicating data insights to non-technical stakeholders
→ Creating dashboards and reports to track key metrics and KPIs
→ Building interactive visualizations to provide meaningful and engaging data experiences.
→ Creating dashboards and reports to track key metrics and KPIs
→ Building interactive visualizations to provide meaningful and engaging data experiences.
6. Domain Expertise
Employers' expectations from you:
→ Identifying business requirements and mapping them
→ Researching industry and domain-specific data sources
→ Developing a deep understanding of business operations and processes.
→ Communicating insights and results
Employers' expectations from you:
→ Identifying business requirements and mapping them
→ Researching industry and domain-specific data sources
→ Developing a deep understanding of business operations and processes.
→ Communicating insights and results
→ Collaborating with subject matter experts to validate data findings
→ Translating complex data insights into actionable recommendations for the business
→ Maintaining up-to-date knowledge of industry trends
Usually, it takes time to build this...
→ Translating complex data insights into actionable recommendations for the business
→ Maintaining up-to-date knowledge of industry trends
Usually, it takes time to build this...
7. Basic Business Maths
Employers' expectations from you:
→ Calculating and interpreting financial metrics
→ Building financial models to est Revenue, Expenses, & profitability
→ Forecasting financial performances
→ Evaluating risks & uncertainties in financial forecasts
Employers' expectations from you:
→ Calculating and interpreting financial metrics
→ Building financial models to est Revenue, Expenses, & profitability
→ Forecasting financial performances
→ Evaluating risks & uncertainties in financial forecasts
That’s it!
Here are the 7 skills that employers want:
1. Data Analysis &Visualization
2. SQL and Database Management
3. Data Mining & Data Cleansing
4. Statistical Modeling
5. Data Story Telling
6. Domain Expertise
7. Basic Business Maths
Now, Start Building Your PORTFOLIO.
Here are the 7 skills that employers want:
1. Data Analysis &Visualization
2. SQL and Database Management
3. Data Mining & Data Cleansing
4. Statistical Modeling
5. Data Story Telling
6. Domain Expertise
7. Basic Business Maths
Now, Start Building Your PORTFOLIO.
I hope you've found this thread helpful.
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