Python for everything
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https://www.linkedin.com/posts/sql-analysts_many-people-charge-too-much-to-teach-python-activity-7204810034940153857-2Rlh
Like for more β€οΈ
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https://www.linkedin.com/posts/sql-analysts_many-people-charge-too-much-to-teach-python-activity-7204810034940153857-2Rlh
Like for more β€οΈ
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Excel Useful Shortcuts
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https://www.linkedin.com/posts/sql-analysts_excel-activity-7205903255766282240-HH5D
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https://www.linkedin.com/posts/sql-analysts_excel-activity-7205903255766282240-HH5D
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Thinking about becoming a Data Engineer? Here's the roadmap to avoid pitfalls & master the essential skills for a successful career.
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https://t.iss.one/sql_engineer/62
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https://t.iss.one/sql_engineer/62
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SAMPLE RESUME TEMPLATE FOR A DATA ANALYST(FRESHER)
Creating a resume as a fresher data analyst involves highlighting your education, skills, projects, and any relevant experience you have gained through internships, coursework, or personal projects.
Hereβs a structured resume template tailored for a fresher in data analysis:
[Your Name] [Your Address] [City, State, Zip Code] [Your Email Address] [Your Phone Number] [LinkedIn Profile] [GitHub Profile (if applicable)]
Objective:-
A motivated and detail-oriented data analyst with a strong foundation in statistics, data manipulation, and visualization. Seeking to leverage technical and analytical skills to solve complex problems and drive business insights in an entry-level data analyst role.
Education:-
Bachelor of Science in [Your Major] [Your University], [City, State]
Graduation Date: [Month, Year]
β Relevant Coursework: Data Structures, Statistics, Data Mining, Machine Learning, Database Management, Business Analytics
Technical Skills:-
β Programming Languages: Python, R, SQL
β Data Manipulation: pandas, NumPy
β Data Visualization: matplotlib, seaborn, ggplot2, Tableau, Power BI
β Databases: MySQL, PostgreSQL
β Tools: Excel, Jupyter Notebook, RStudio
β Other Skills: Data Cleaning, Data Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Machine Learning Basics
Projects:-
Project Title 1
β Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]
β Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]
Project Title 2
β Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]
β Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]
Project Title 3
β Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]
β Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]
Internships and Experience:-
Data Analyst Intern [Company Name], [City, State]
[Month, Year] β [Month, Year]
β Assisted in collecting, cleaning, and analyzing large datasets to support business decision-making.
β Developed dashboards and visualizations to present data insights to stakeholders.
β Conducted statistical analyses to identify trends and patterns in data.
Research Assistant [University Department or Lab], [City, State]
[Month, Year] β [Month, Year]
β Collaborated on research projects involving data collection, data entry, and preliminary data analysis.
β Used statistical software to analyze research data and prepare reports.
Certifications:-
β Google Data Analytics Professional Certificate
β Microsoft Certified: Data Analyst Associate
β [Any other relevant certification]
Extracurricular Activities:-
Member, Data Science Club, [Your University]
β Participated in data analysis competitions and hackathons.
β Attended workshops and seminars on data science and analytics.
Volunteer, [Organization Name]
β Contributed to data-driven projects that helped the organization improve its operations and outreach.
Additional Information:-
β Languages: [Any languages you speak other than English, if applicable]
β Interests: [Relevant interests that can show your passion for data and analysis, e.g., participating in Kaggle competitions, blogging about data science, etc.]
Data Analyst Jobs -> t.iss.one/jobs_SQL
Creating a resume as a fresher data analyst involves highlighting your education, skills, projects, and any relevant experience you have gained through internships, coursework, or personal projects.
Hereβs a structured resume template tailored for a fresher in data analysis:
[Your Name] [Your Address] [City, State, Zip Code] [Your Email Address] [Your Phone Number] [LinkedIn Profile] [GitHub Profile (if applicable)]
Objective:-
A motivated and detail-oriented data analyst with a strong foundation in statistics, data manipulation, and visualization. Seeking to leverage technical and analytical skills to solve complex problems and drive business insights in an entry-level data analyst role.
Education:-
Bachelor of Science in [Your Major] [Your University], [City, State]
Graduation Date: [Month, Year]
β Relevant Coursework: Data Structures, Statistics, Data Mining, Machine Learning, Database Management, Business Analytics
Technical Skills:-
β Programming Languages: Python, R, SQL
β Data Manipulation: pandas, NumPy
β Data Visualization: matplotlib, seaborn, ggplot2, Tableau, Power BI
β Databases: MySQL, PostgreSQL
β Tools: Excel, Jupyter Notebook, RStudio
β Other Skills: Data Cleaning, Data Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Machine Learning Basics
Projects:-
Project Title 1
β Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]
β Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]
Project Title 2
β Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]
β Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]
Project Title 3
β Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]
β Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]
Internships and Experience:-
Data Analyst Intern [Company Name], [City, State]
[Month, Year] β [Month, Year]
β Assisted in collecting, cleaning, and analyzing large datasets to support business decision-making.
β Developed dashboards and visualizations to present data insights to stakeholders.
β Conducted statistical analyses to identify trends and patterns in data.
Research Assistant [University Department or Lab], [City, State]
[Month, Year] β [Month, Year]
β Collaborated on research projects involving data collection, data entry, and preliminary data analysis.
β Used statistical software to analyze research data and prepare reports.
Certifications:-
β Google Data Analytics Professional Certificate
β Microsoft Certified: Data Analyst Associate
β [Any other relevant certification]
Extracurricular Activities:-
Member, Data Science Club, [Your University]
β Participated in data analysis competitions and hackathons.
β Attended workshops and seminars on data science and analytics.
Volunteer, [Organization Name]
β Contributed to data-driven projects that helped the organization improve its operations and outreach.
Additional Information:-
β Languages: [Any languages you speak other than English, if applicable]
β Interests: [Relevant interests that can show your passion for data and analysis, e.g., participating in Kaggle competitions, blogging about data science, etc.]
Data Analyst Jobs -> t.iss.one/jobs_SQL
π14β€5
Full Data Analyst Roadmap:
1. Optimize LinkedIn
Add a friendly, professional profile photo; create a headline that starts with the job title you want (data analyst, not aspiring);
add a banner photo (Canva can help with this); create an about section that goes deeper into your skills and background and why youβre good at what you do (add some personality);
Highlight transferrable skills in your work and education history sections, quantify your impact where applicable; add your portfolio and anything else you want to show off to your featured section (once you have a portfolio);
Use keywords throughout including tools, years of experience, and job titles (data analyst)
Learn Data Analytics
1. Optimize LinkedIn
Add a friendly, professional profile photo; create a headline that starts with the job title you want (data analyst, not aspiring);
add a banner photo (Canva can help with this); create an about section that goes deeper into your skills and background and why youβre good at what you do (add some personality);
Highlight transferrable skills in your work and education history sections, quantify your impact where applicable; add your portfolio and anything else you want to show off to your featured section (once you have a portfolio);
Use keywords throughout including tools, years of experience, and job titles (data analyst)
Learn Data Analytics
π7β€4
2. Learn Microsoft Excel:
Software: Microsoft Excel Online (itβs not the best, but it will do.)
YouTube & Telegram channels to learn: Teacherβs Tech, Excel for Data Analysis, Kevin Stratvert, Leila Gharani, Alex the Analyst
Learn Data Analytics
Software: Microsoft Excel Online (itβs not the best, but it will do.)
YouTube & Telegram channels to learn: Teacherβs Tech, Excel for Data Analysis, Kevin Stratvert, Leila Gharani, Alex the Analyst
Learn Data Analytics
π10β€3
3. Learn SQL
Software: MySQL
Free courses: Khan Academy, W3Schools, SQL Bolt, SQL Zoo, Luke Barousse and Alex the Analyst on YouTube
Telegram channel: SQL for data analysis
Practice problems: Hacker Rank, Leet Code, Data Lemur
Games: SQL Island, SQL Murder Mystery
Learn Data Analytics
Software: MySQL
Free courses: Khan Academy, W3Schools, SQL Bolt, SQL Zoo, Luke Barousse and Alex the Analyst on YouTube
Telegram channel: SQL for data analysis
Practice problems: Hacker Rank, Leet Code, Data Lemur
Games: SQL Island, SQL Murder Mystery
Learn Data Analytics
β€2π2
4. Learn Tableau
Software: Tableau Public
Learn with Tableau Public website and YouTube channels such as Alex the Analyst, Andy Kriebel, and Tableau Tim
Learn Data Analytics
Software: Tableau Public
Learn with Tableau Public website and YouTube channels such as Alex the Analyst, Andy Kriebel, and Tableau Tim
Learn Data Analytics
π7
Data Analyst is NOT a Business Analyst.
BOTH Works with DATA,but the way they do it is Vastly Different.
Data Analyst Mainly :-
βοΈ Work in DATABASE.
βοΈ Use SQL.
βοΈ Propose actionable INSIGHTS.
βοΈ Report to Team Memeber's.
Business Analyst Mainly :-
βοΈ Work in SPREADSHEET.
βοΈ Use EXCEL.
βοΈ Make Strategic Recommendations.
βοΈ Report to Upper Management.
Awareness of the difference's between Data Analyst & Business Analyst.
BOTH Works with DATA,but the way they do it is Vastly Different.
Data Analyst Mainly :-
βοΈ Work in DATABASE.
βοΈ Use SQL.
βοΈ Propose actionable INSIGHTS.
βοΈ Report to Team Memeber's.
Business Analyst Mainly :-
βοΈ Work in SPREADSHEET.
βοΈ Use EXCEL.
βοΈ Make Strategic Recommendations.
βοΈ Report to Upper Management.
Awareness of the difference's between Data Analyst & Business Analyst.
π19π5π5β€2π€©1
5. Build a portfolio to showcase your skills
There are a ton of options for hosting portfolios including GitHub Pages, Carrd, and Maven Portfolio Showcase.
Learn Data Analytics
There are a ton of options for hosting portfolios including GitHub Pages, Carrd, and Maven Portfolio Showcase.
Learn Data Analytics
π10
6. Build a great resume
Highlight transferrable skills from past experience, add a project section to showcase your analytics skills, and link your portfolio in the header.
Alex the Analyst did a great video on this like a year ago including a portfolio template Iβve used.
Learn Data Analytics
Highlight transferrable skills from past experience, add a project section to showcase your analytics skills, and link your portfolio in the header.
Alex the Analyst did a great video on this like a year ago including a portfolio template Iβve used.
Learn Data Analytics
π6
7. Start applying to jobs
Leverage any connections you have including friends, family, and former colleagues.
If you already work for a company that hires data analysts, transitioning to a data role within the company can be the easiest route.
Once you have the skills, itβs your job to get the attention of recruiters and hiring managers.
Learn Data Analytics
Leverage any connections you have including friends, family, and former colleagues.
If you already work for a company that hires data analysts, transitioning to a data role within the company can be the easiest route.
Once you have the skills, itβs your job to get the attention of recruiters and hiring managers.
Learn Data Analytics
There are a lot of data analyst jobs that donβt use SQL.
There are a lot of jobs that donβt use Tableau/Power BI.
There are even jobs that donβt use Excel/Google sheets.
BUT, the probability youβll use at least one of those tools in your data analyst job is close to 100%.
Thatβs why I recommend every data analyst learn SQL, Excel, and Tableau or Power BI.
That way youβre ready for almost all entry-level data analyst jobs.
There are a lot of jobs that donβt use Tableau/Power BI.
There are even jobs that donβt use Excel/Google sheets.
BUT, the probability youβll use at least one of those tools in your data analyst job is close to 100%.
Thatβs why I recommend every data analyst learn SQL, Excel, and Tableau or Power BI.
That way youβre ready for almost all entry-level data analyst jobs.
π16β€2