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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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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.

Here’s 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]

● Relevant Coursework: Data Structures, Statistics, Data Mining, Machine Learning, Database Management, Business Analytics

Technical Skills:-

● Programming Languages: Python, R, SQL

● Data Manipulation: pandas, NumPy

● Data Visualization: matplotlib, seaborn, ggplot2, Tableau, Power BI

● Databases: MySQL, PostgreSQL

● Tools: Excel, Jupyter Notebook, RStudio

● Other Skills: Data Cleaning, Data Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Machine Learning Basics

Projects:-

Project Title 1
● Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]
● Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]

Project Title 2
● Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]

● Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]

Project Title 3
● Description: [Brief description of the project, the problem you solved, and the tools/technologies you used.]

● Key Achievements: [Highlight specific outcomes, insights derived, or skills applied.]

Internships and Experience:-

Data Analyst Intern [Company Name], [City, State]
[Month, Year] – [Month, Year]

● Assisted in collecting, cleaning, and analyzing large datasets to support business decision-making.

● Developed dashboards and visualizations to present data insights to stakeholders.

● Conducted statistical analyses to identify trends and patterns in data.
Research Assistant [University Department or Lab], [City, State]
[Month, Year] – [Month, Year]

● Collaborated on research projects involving data collection, data entry, and preliminary data analysis.

● Used statistical software to analyze research data and prepare reports.

Certifications:-

● Google Data Analytics Professional Certificate

● Microsoft Certified: Data Analyst Associate

● [Any other relevant certification]

Extracurricular Activities:-

Member, Data Science Club, [Your University]

● Participated in data analysis competitions and hackathons.

● Attended workshops and seminars on data science and analytics.
Volunteer, [Organization Name]

● Contributed to data-driven projects that helped the organization improve its operations and outreach.

Additional Information:-

● Languages: [Any languages you speak other than English, if applicable]

● 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
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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 you’re 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
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2. Learn Microsoft Excel:

Software: Microsoft Excel Online (it’s not the best, but it will do.)

YouTube & Telegram channels to learn: Teacher’s Tech, Excel for Data Analysis, Kevin Stratvert, Leila Gharani, Alex the Analyst

Learn Data Analytics
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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
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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
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Data Analyst is NOT a Business Analyst.

BOTH Works with DATA,but the way they do it is Vastly Different.

Data Analyst Mainly :-

βœ”οΈ Work in DATABASE.
βœ”οΈ Use SQL.
βœ”οΈ Propose actionable INSIGHTS.
βœ”οΈ Report to Team Memeber's.

Business Analyst Mainly :-

βœ”οΈ Work in SPREADSHEET.
βœ”οΈ Use EXCEL.
βœ”οΈ Make Strategic Recommendations.
βœ”οΈ Report to Upper Management.

Awareness of the difference's between Data Analyst & Business Analyst.
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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
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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 I’ve used.

Learn Data Analytics
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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, it’s your job to get the attention of recruiters and hiring managers.

Learn Data Analytics
There are a lot of data analyst jobs that don’t use SQL.

There are a lot of jobs that don’t use Tableau/Power BI.

There are even jobs that don’t use Excel/Google sheets.

BUT, the probability you’ll use at least one of those tools in your data analyst job is close to 100%.

That’s why I recommend every data analyst learn SQL, Excel, and Tableau or Power BI.

That way you’re ready for almost all entry-level data analyst jobs.
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