Data Analysis Books

Top 5 skills for DataAnalytics 1. Proficiency in programming languages like Python, R, or SQL. 2. Strong analytical and problem-solving skills. 3. Ability to work with data manipulation and visualization tools like Pandas, NumPy, Matplotlib, and Seaborn. 4. Knowledge of statistical analysis and machine learning techniques. 5. Effective communication and storytelling skills to convey insights from data to stakeholders.

You don't need to know everything about every data tool. Focus on what will help land you your job. For Excel: - IFS (all variations) - XLOOKUP - IMPORTRANGE (in GSheets) - Pivot Tables - Dynamic functions like TODAY() For SQL: - Sum - Group By - Window Functions - CTEs - Joins For Tableau: - Calculated Columns - Sets - Groups - Formatting For Power BI: - Power Query for data transformation - DAX (Data Analysis Expressions) for creating custom calculations - Relationships between tables - Creating interactive and dynamic dashboards - Utilizing slicers and filters effectively

Step-by-step guide to master data analytics 👇👇 https://www.linkedin.com/posts/sql-analysts_step-by-step-guide-to-master-data-analytics-activity-7200748815463649281-zPT2

🚀🚀BIG NEWS: Crypto Pros Predict 50x Potential for $BCCOIN! Why Invest in $BCCOIN? ✨World’s First Limitless Crypto Credit Card: No fees, limitless spending, and real crypto integration. ✨ Imminent Tier 1 Exchange Listings: Major listings soon, increasing visibility and demand. ✨ Explosive Growth Potential: Experts predict 50x returns in the next two weeks. ✨ $200M Joint Venture: Strong institutional interest and major partnerships on the horizon. ✨Last Call Before Big Launch: Major launch on WorldPress coming soon. Act now! How to Invest: 🔗Buy & Stake Now 🔗Buy in CEX 🔗Buy in DEX Join Our Community: Telegram Channel Audit Reports: - CertiK Audit - Hacken Audit Don't miss this revolutionary opportunity! 🚀💰

If you're looking to build a career in Data Analytics but feel unsure about where to start, this post is for you. It's important to know that you don't need to spend money on expensive courses to succeed in this field. Many posts you see on LinkedIn promoting paid courses are often shared by individuals who are either trying to sell their own products or are being compensated to endorse these courses. Through this post, I will share with you everything you need to start your data journey absolutely free. Source

Learn the basics of crypto with Binance 👇👇 https://t.me/Bitcoin_Crypto_Web/137

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.]

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼𝘄 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝗻 𝗮 𝗿𝗲𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄? 𝙍𝙚𝙖𝙙 𝙖𝙗𝙤𝙪𝙩 𝙢𝙮 𝙧𝙚𝙘𝙚𝙣𝙩 𝙤𝙣𝙚-𝙝𝙤𝙪𝙧 𝙞𝙣𝙩𝙚𝙧𝙫𝙞𝙚𝙬 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙩𝙤 𝙛𝙞𝙣𝙙 𝙤𝙪𝙩 𝙩𝙝𝙚 𝙢𝙖𝙞𝙣 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙄 𝙬𝙖𝙨 𝙖𝙨𝙠𝙚𝙙! 𝘋𝘰𝘯'𝘵 𝘧𝘰𝘳𝘨𝘦𝘵 𝘵𝘰 𝘴𝘩𝘢𝘳𝘦 𝘺𝘰𝘶𝘳 𝘢𝘯𝘴𝘸𝘦𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘦𝘯𝘵 𝘴𝘦𝘤𝘵𝘪𝘰𝘯 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯 𝘸𝘩𝘪𝘤𝘩 𝘐 𝘮𝘢𝘳𝘬𝘦𝘥 ⭐ . 𝘓𝘦𝘵'𝘴 𝘥𝘪𝘴𝘤𝘶𝘴𝘴 𝘵𝘩𝘦 𝘱𝘰𝘴𝘴𝘪𝘣𝘭𝘦 𝘢𝘯𝘴𝘸𝘦𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘦𝘯𝘵𝘴 𝘴𝘦𝘤𝘵𝘪𝘰𝘯. 𝗕𝗮𝘀𝗶𝗰 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 -Brief introduction about yourself. -Explanation of how you developed an interest in learning Power BI despite having a chemical background. 𝗧𝗼𝗼𝗹𝘀 𝗣𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 -Discussion about the tools you are proficient in. -Detailed explanation of a project that demonstrated your proficiency in these tools. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻 Explain about any Data Analytics Project you did, below are some follow-up questions for sales related data analysis project Follow-up Question: Was there any improvement in sales after building the report? Provide a clear before and after scenario in sales post-report creation. What areas did you identify where the company was losing sales, and what were your recommendations? - How do you check the quality of data when it's given to you? Explain your methods for ensuring data quality. - How do you handle null values? Describe your approach to managing null values in datasets. 𝗦𝗤𝗟 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 -Explain the order in which SQL clauses are executed. -Write a query to find the percentage of the 18-year-old population. Details: You are given two tables: Table 1: Contains states and their respective populations. Table 2: Contains three columns (state, gender, and population of 18-year-olds). -Explain window functions and how to rank values in SQL. - Difference between JOIN and UNION. -How to return unique values in SQL. 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 -Solve a puzzle involving 3 gallons of water in one jar and 2 gallons in another to get exactly 4 gallons. Step-by-step solution for the water puzzle. - What skills have you learned on your own? Discuss the skills you self-taught and their impact on your career. -Describe cases when you showcased team spirit. -⭐ 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗔𝗽𝗽 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 Scenario: Choose any social media app (I choose Discord). Question: What function/feature would you add to the Discord app, and how would you track its success? - Rate yourself on Excel, SQL, and Python out of 10. - What are your strengths in data analytics?