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𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗦𝗸𝘆𝗿𝗼𝗰𝗸𝗲𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿😍
Whether you’re diving into AI, learning Python, mastering marketing, or sharpening your Excel skills📊
These free courses offer everything you need to stay ahead in tech, data, and business👨💻
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8 159
Oracle hiring Data Scientist
Apply link: https://eeho.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/job/288200/?utm_medium=getjobss
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaxngnVInlqV6xJhDs3m
👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
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Key Concepts for Data Science Interviews
1. Data Cleaning and Preprocessing: Master techniques for cleaning, transforming, and preparing data for analysis, including handling missing data, outlier detection, data normalization, and feature engineering.
2. Statistics and Probability: Have a solid understanding of descriptive and inferential statistics, including distributions, hypothesis testing, p-values, confidence intervals, and Bayesian probability.
3. Linear Algebra and Calculus: Understand the mathematical foundations of data science, including matrix operations, eigenvalues, derivatives, and gradients, which are essential for algorithms like PCA and gradient descent.
4. Machine Learning Algorithms: Know the fundamentals of machine learning, including supervised and unsupervised learning. Be familiar with key algorithms like linear regression, logistic regression, decision trees, random forests, SVMs, and k-means clustering.
5. Model Evaluation and Validation: Learn how to evaluate model performance using metrics such as accuracy, precision, recall, F1 score, ROC-AUC, and confusion matrices. Understand techniques like cross-validation and overfitting prevention.
6. Feature Engineering: Develop the ability to create meaningful features from raw data that improve model performance. This includes encoding categorical variables, scaling features, and creating interaction terms.
7. Deep Learning: Understand the basics of neural networks and deep learning. Familiarize yourself with architectures like CNNs, RNNs, and frameworks like TensorFlow and PyTorch.
8. Natural Language Processing (NLP): Learn key NLP techniques such as tokenization, stemming, lemmatization, and sentiment analysis. Understand the use of models like BERT, Word2Vec, and LSTM for text data.
9. Big Data Technologies: Gain knowledge of big data frameworks and tools like Hadoop, Spark, and NoSQL databases that are used to process large datasets efficiently.
10. Data Visualization and Storytelling: Develop the ability to create compelling visualizations using tools like Matplotlib, Seaborn, or Tableau. Practice conveying your data findings clearly to both technical and non-technical audiences through visual storytelling.
11. Python and R: Be proficient in Python and R for data manipulation, analysis, and model building. Familiarity with libraries like Pandas, NumPy, Scikit-learn, and tidyverse is essential.
12. Domain Knowledge: Develop a deep understanding of the specific industry or domain you're working in, as this context helps you make more informed decisions during the data analysis and modeling process.
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8 159
Repost from Python for Data Analysts
𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝗜𝗻 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍
1️⃣ BCG Data Science & Analytics Virtual Experience
2️⃣ TATA Data Visualization Internship
3️⃣ Accenture Data Analytics Virtual Internship
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Enroll for FREE & Get Certified 🎓
8 159
Policybazaar is hiring Business Analyst 🚀
Experience : 2+ Years
Location : Gurugram
Apply link : https://forms.gle/4qYzhgb3sWdH89EN9
8 159
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱😍
Explore top-notch courses to build expertise in cloud computing, data analysis, and visualization—all for FREE!
1. Microsoft Azure Fundamentals
2. Power BI Data Analyst Associate
3. Azure Enterprise Data Analyst Associate
4. Introduction to Data Analysis Using Excel (edX)
5. Analyzing & Visualizing Data with Excel (edX)
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Start learning today and transform your career! 🚀
8 159
Jupiter AI Labs hiring Machine Learning Engineer ✔: https://www.linkedin.com/jobs/view/4218685035
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What is PCA
PCA is a commonly used tool in statistics for making complex data more manageable. Here are some essential points to get started with PCA in R:
🔹 What is PCA? PCA transforms a large set of variables into a smaller one that still contains most of the information in the original set. This process is crucial for analyzing data more efficiently.
🔸 Why R? R is a statistical powerhouse, favored for its versatility in data analysis and visualization capabilities. Its comprehensive packages and functions make PCA straightforward and effective.
🔹 Getting Started: Utilize R's prcomp() function to perform PCA. This function is robust, offering a standardized method to carry out PCA with ease, providing you with principal components, variance captured, and more.
🔸 Visualizing PCA Results: With R, you can leverage powerful visualization libraries like ggplot2 and factoextra. Visualize your PCA results through scree plots to decide how many principal components to retain, or use biplots to understand the relationship between variables and components.
🔹 Interpreting Results: The output of PCA in R includes the variance explained by each principal component, helping you understand the significance of each component in your analysis. This is crucial for making informed decisions based on your data.
🔸 Applications: Whether it's in market research, genomics, or any field dealing with large data sets, PCA in R can help you identify patterns, reduce noise, and focus on the variables that truly matter.
🔹 Key Packages: Beyond base R, packages like factoextra offer additional functions for enhanced PCA analysis and visualization, making your data analysis journey smoother and more insightful.
Embark on your PCA journey in R and transform vast, complicated data sets into simplified, insightful information. Ready to go from data to insights? Our comprehensive course on PCA in R programming covers everything from the basics to advanced applications.
8 159
Repost from Data Science & Machine Learning
𝟱 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻’𝘁 𝗠𝗶𝘀𝘀😍
Microsoft Learn is offering 5 must-do courses for aspiring data scientists, absolutely free🔥📊
These self-paced learning modules are designed by industry experts and cover everything from Python and ML to Microsoft Fabric and Azure🎯
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Job-ready content that gets you results✅️
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Senior Data Science Professionals hiring
Location: Mumbai
https://www.linkedin.com/posts/sahil-gamre-71645620a_hiring-datascience-ai-activity-7325453057289285634-vqY1
8 159
Vedantu is hiring Business Analyst 🚀
Experience : 2+ Years
Location : Bangalore
Apply link : https://forms.gle/c8g2rpacP8Qssh2b7
8 159
AGRIM is hiring Product Analyst 🚀
Experience : 1+ Year
Location : Gurugram
Apply link : https://forms.gle/o2rd5vhCF9L9APPV7
8 159
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗔𝗪𝗦 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝗯𝘀𝗼𝗹𝘂𝘁𝗲 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍
☁️ Want to Break Into Cloud Computing? Start Your AWS Journey for Free!📌
Cloud computing is one of the fastest-growing and highest-paying fields in tech. And Amazon Web Services (AWS) leads the way with over 30% of the global market share📊🎊
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Airbus hiring Data Scientist - Generative AI
Apply link: https://ag.wd3.myworkdayjobs.com/en-US/Airbus/job/Bangalore-Area/Data-Scientist---Generative-AI_JR10315684-1
👉WhatsApp Channel: https://whatsapp.com/channel/0029Vaxjq5a4dTnKNrdeiZ0J
👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5
All the best 👍👍
8 159
Data Scientist Hiring in Noida, India
https://jobs.ericsson.com/careers/job/563121763669097?domain=ericsson.com&jobPipeline=LinkedIn
8 159
Repost from Python for Data Analysts
𝟯 𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗘𝘃𝗲𝗿𝘆 𝗙𝗿𝗲𝘀𝗵𝗲𝗿 𝗠𝘂𝘀𝘁 𝗧𝗮𝗸𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆😍
🎯 If You’re a Fresher, These TCS Courses Are a Must-Do📄✔️
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Sony Hiring Data Science Intern
Internship Duration: 6 months
Graduation Year: 2025 / 2026
Location: Bengaluru / Mumbai / Remote
Apply Link:
https://www.linkedin.com/jobs/view/4216336436/
8 159
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗥𝗘𝗘 𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
🚀 Want to Break into Data Analytics? Start with This Free Power BI Course by Microsoft🎯
If you’re trying to enter the field of data analytics but don’t know where to start, Microsoft has your back!💻📍
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Best part? It’s completely free and created by one of the most trusted names in tech✅️
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Looking for Data Scientist professionals
Skills required - Proficient in R & Python with statistical modelling and ML techniques along with deep learning and NLP concepts.
Experience - 5-7 Years
Location - Bengaluru
Interested candidates can mail their cv at nidhig@symphonihr.com
8 159
Repost from Python for Data Analysts
𝟲 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗠𝗮𝗸𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗦𝘁𝗮𝗻𝗱 𝗢𝘂𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱😍
As competition heats up across every industry, standing out to recruiters is more important than ever📄📌
The best part? You don’t need to spend a rupee to do it!💰
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👉 Start learning. Start standing out✅️
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