Elvis W.
43 373
مشترکین
+1924 ساعت
+2597 روز
+1 44430 روز
- مشترکین
- پوشش پست
- ER - نسبت تعامل
در حال بارگیری داده...
معدل نمو المشتركين
در حال بارگیری داده...
6. Excel:
Advanced Excel skills, including pivot tables, VLOOKUP, and data analysis add-ins.
7. Big Data Technologies:
Basic understanding of big data tools and frameworks like Hadoop and Spark (optional but beneficial).
8. Machine Learning Basics:
Fundamental concepts of machine learning algorithms and their applications.
9. Domain Knowledge:
Understanding of the specific industry or domain where data analysis is applied.
10. Soft Skills:
Critical Thinking: Ability to analyze data critically and make informed decisions.
Communication: Skills to present findings clearly to non-technical stakeholders.
Problem-Solving: Aptitude for identifying problems and using data to find solutions.
Attention to Detail: Ensuring data accuracy and consistency.
👍 5
Most Important Skills to Become a Data Analyst:
1. Statistical Analysis:
Understanding of basic and advanced statistical concepts.
Ability to perform hypothesis testing, regression analysis, and other statistical techniques.
2. Programming Languages:
Python: For data manipulation, analysis, and visualization.
R: For statistical analysis and data visualization.
3. Data Visualization:
Proficiency in tools like Tableau, Power BI, and matplotlib (Python library).
Ability to create clear and insightful visual representations of data.
4. Database Management:
SQL: For querying and managing relational databases.
Knowledge of database systems like MySQL, PostgreSQL, or SQL Server.
5. Data Cleaning and Preparation:
Techniques for handling missing data, outliers, and data normalization.
Tools for data cleaning such as Pandas (Python library).
👍 1
Why are data skills important today?
1. Data Driven Decision making:
- Informed Choices: Data skills enable individuals and organizations to make informed decisions based on evidence rather than intuition or guesswork.
- Predictive Analysis: Utilizing data analytics to predict future trends and outcomes, leading to more strategic planning and risk management.
2. Competitive Advantage:
- Customer Behavior: Analyzing customer data helps businesses understand their preferences, behaviors, and needs, allowing for more targeted marketing strategies.
- Market Trends: Identifying and capitalizing on emerging trends faster than competitors.
3. Efficiency and Productivity:
- Data skills help identify inefficiencies and areas for improvement within business operations.
-Resource Allocation: Better allocation of resources based on data insights, leading to cost savings and enhanced productivity.
4. Innovation and Growth:
- Product Development: Identifying gaps in the market and developing new products or services to meet unmet needs.
- Innovation: Leveraging data to drive innovation and create unique value propositions.
5. Risk Management:
- Fraud Detection: Using data analytics to detect and prevent fraudulent activities.
- Compliance: Ensuring regulatory compliance through accurate and timely data management and reporting.
6. Technological Integration:
- AI and Machine Learning: Data skills are essential for developing and implementing AI and machine learning algorithms.
- Big Data: Managing and analyzing large datasets to extract meaningful insights and drive business strategies.
😁 1
In our audio event yesterday on LinkedIn, we talked about some of the most in demand skills today.
Here is a summary of the same:
1. Technology skills or tech skills: Programming and Software Development, Cyber Security, Cloud Computing, Artificial Intelligence and Machine Learning.
2. Data Skills: Data Analysis, Data Science and Data Engineering.
3. Digital Skills: SEO & SEM, Social Media Marketing and Management, Content Marketing, Email Marketing.
4. Soft Skills: Communication, problem-solving, critical thinking, Leadership.
5. Creative skills: Web Design, Graphic Design, UI/UX design, creative writing, copywriting, video editing, creative directing among others.
👍 3
Do you have digital marketing skills and want to make money from them?
Here’s how you can start:
1. Freelancing:
Platforms: Use Upwork, Fiverr, and Freelancer to find clients.
Services: Offer SEO, social media management, content marketing, and PPC ads.
2. Consulting:
Expert Advice: Offer consulting to businesses for better digital strategies.
Workshops: Conduct workshops to teach digital marketing techniques.
3. Online Courses:
Course Creation: Sell courses on Udemy, Teachable, or Skillshare.
Webinars: Host paid webinars to teach specific skills.
4. Blogging and Content Creation:
Monetized Blog: Start a blog on digital marketing and earn through ads and affiliate marketing.
YouTube Channel: Create tutorials on YouTube and monetize with ads and sponsorships.
👍 3
Photo unavailableShow in Telegram
Join this LinkedIn audio event:
https://www.linkedin.com/events/whatskillsshouldilearn7216532047274663936/
یک طرح متفاوت انتخاب کنید
طرح فعلی شما تنها برای 5 کانال تجزیه و تحلیل را مجاز می کند. برای بیشتر، لطفا یک طرح دیگر انتخاب کنید.