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"The ONLY key for a productive Work From Home is, SELF DISCIPLINE." Best sources to start with.

"The ONLY key for a productive Work From Home is, SELF DISCIPLINE." This is for all the people: 0. who have gone in their comfort-zone 1. who are overeating in lockdown 2. who are getting distracted Self Discipline begins with the mastery of your thoughts. If you don't control what you think, you can never control what you do. 🤷🏻‍♂️ Shrimad Bhagavad Gita, Chapter 6 - Verse 6 : "बन्धुरात्मात्मनस्तस्य येनात्मैवात्मना जित: । अनात्मनस्तु शत्रुत्वे वर्तेतात्मैव शत्रुवत् ॥ ६ ॥" Lord Krishna says, for him who has conquered the mind, the mind is the best of friends; but for one who has failed to do so, his mind will remain the greatest enemy. This is a lesson for life, hence also fits for WFH. If we just follow Self Discipline at least for our work during working hours, no one can stop you from being productive. Be it WORK FROM HOME, or be it WORK FROM OFFICE. 😇 These are my go to places to start learning/revising - 1) Python - https://lnkd.
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Most crucial resources r to get into Data Science Field.

Most crucial resources are to get into Data Science Field, how to start with data science ? - Top 10 Machine Learning Algorithms 1. Linear Regression 2. Logistic Regression 3. Decision Trees 4. Random Forests 5. K Means Clustering 6. Support Vector Machine 7. Artificial Neural Network 8. Apriori Algorithm 9. Naïve Bayes Classifier 10. Nearest Neighbor - Top 10 Python Libraries 1. Pandas 2. Numpy 3. Scikit-Learn 4. Keras 5. PyTorch 6. LightGBM 7. Matplotlib 8. SciPy 9. Theano 10. TensorFlow - Top 10 Data Science Books 1. Introduction to Statistical Learning 2. Data science at the command line 3. Think stats 4. Python data science handbook 5. R for data science 6. Machine learning yearning 7. Ethics and data science 8. Deep learning 9. Rules for machine learning 10. Probabilistic Programming & Bayesian methods - Top 10 Data Science Resources Online 1. Coursera: Stanford & Johns Hopkins 3. EdX: Data Science Essentials 4. Udacity 5. Kaggle 6. Analytics Vi

Complete guide towards data science, do you know?Best Data Science Courses Online,Top 10 Data Science Blogs,Statistics & Probability,Free Data Sets, Python,Visualization

How to start career as a Data Scientist ? 📍Best Data Science Courses Online🔖 Coursera 1. Stanford University 2. DeepLearning .ai 3. IBM 4. Johns Hopkins 5. University of Michigan EdX 6. Harvard University 7. MIT Udacity 8. Data Science Nanodegree hashtag 📌Top 10 Data Science Blogs📈 1. Data Camp 2. Data Science Central 3. KDnuggets 4. R-Bloggers 5. Revolution Analytics 6. Analytics Vidya 7. Codementor 8. Data Plus Science 9. Data Science 101 10. DataRobot 🧮Statistics & Probability 📚 1. Khan Academy 2. OpenIntro 3. Exam Solutions 4. Seeing Theory 5. Towardsdatascience 6. Elitedatascience 7. OLI 8. Class Central 9. Alison 10. Guru99 🔏Free Data Sets🖇 1. Data.world 2. Kaggle 3. FiveThirthyEight 4. BuzzFeed 5. Socrata OpenData 6. Data gov 7. Quandl 8. Reddit 9. UCI Repository 10. Academic Torrents 📇 Python📕 1. Code Academy 2. TutorialsPoint 3. Python org 4. Python for Beginners 5. Pythonspot 6. Interactive Python 7. Python Tutor 8. Full Stack Python 9.

The Ultimate Learning path to becoming Data Scientist

Data Science From Scratch,Top Machine Learning Algorithms,Top Python Libraries,Top Data Science Books,Top Roles in AI & Data ScienceTop Data Science Courses Offered Online,

📇Top Machine Learning Algorithms📉 1. Linear Regression 2. Logistic Regression 3. Decision Trees 4. Random Forests 5. K Means Clustering 6. Support Vector Machine 7. Artificial Neural Network 8. Apriori Algorithm 9. Naïve Bayes Classifier 10. Nearest Neighbo 🖇Top Python Libraries📕 1. Pandas 2. Numpy 3. Scikit-Learn 4. Keras 5. PyTorch 6. LightGBM 7. Matplotlib 8. SciPy 9. Theano 10. TensorFlow 🔏Top Data Science Books📚 1. Automate the boring stuff 2. Data science at the command line 3. Think stats 4. Python data science handbook 5. R for data science 6. Machine learning yearning 7. Ethics and data science 8. Deep learning 9. Rules for machine learning 10. Probabilistic Programming & Bayesian methods 📍Top Data Science Courses Offered Online🔖 1. Coursera: Stanford & Johns Hopkins 3. EdX: Data Science Essentials 4. Udacity: Machine Learning 5. Kaggle 6. Dataquest 7. KDNuggets 📌Top Roles in AI & Data Science📈 1. Data Scientist 2. Decision Maker 3. Anal

What Makes Someone Data Scientist ? skills for data scientist ?

What Makes Someone Data Scientist ? "Everybody loves data Scientist ", Wrote  Simon  Rogers(2012) in the Guardian. Mr.Rogers also  tracedthe new found love for numbers crunching to  a   quote by Google's Hal Varian, who declared that  "the  sexyjob in the next ten years will be  statistician." whereas Hal Varitian named statistician sexy, it is believed that what he really meant were data Scientists. This raise several important questions: What is data Science? How does it differ from statistics what makes someone data scientist In the times of Big data, a question as simple as, "what is data science?" can result in many answers ,In some cases The diversity of opinions on these answers borders on hostility. I define data scientist as someone who finds solutions to problems by analyzing big or small data using appropriate tools and then tells stories to communicate her findings to the relevant stakeholders. I define data

Why Data Science: The Sexiest Job in the 21st Century?

Data Science: The Sexiest Job in the 21st Century Why Data Science, Machine Learning and Data Analytics ? Data science  is a  multi-disciplinary   field that uses scientific methods, processes, algorithm and systems to extract  knowledge   and insights from structured and unstructured data Data Science is the  concept turned data as " Data Mining and Big Data "use the most powerful hardware, the most powerful programming systems,and the most efficient algorithm to solve the problems. Future Scope of Data Scientist ? Our Digital Footprint has expanded rapidly over the past 10 years. The size of the digital  universe was roughly 130 billion GB in 1995. By 2020 , this number will expand 40 trillion GB. Companies will compete for hundreds of thousands, if not millions. of new workers needed to navigate the new digital World. No wonder the prestigious Harvard Business Review called data science "the sexiest job in  in the 21st century