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Want to become a data analyst?

Stage 1 – Excel
Stage 2 – SQL + Project
Stage 3 – Python (Pandas, NumPy) + Project
Stage 4 – Data Visualization (Matplotlib, Seaborn) + Project
Stage 5 – Statistics + Project
Stage 6 – Machine Learning (Scikit-learn) + Project
Stage 7 – Big Data Tools (Hadoop, Spark) + Project

🏆DataAnalytics
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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 :-

✔️ Work in DATABASE.
✔️ Use SQL.
✔️ Propose actionable INSIGHTS.
✔️ Report to Team Memeber's.

Business Analyst Mainly :-

✔️ Work in SPREADSHEET.
✔️ Use EXCEL.
✔️ Make Strategic Recommendations.
✔️ 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