{"id":24178,"date":"2025-11-27T09:41:50","date_gmt":"2025-11-27T09:41:50","guid":{"rendered":"https:\/\/gtracademy.org\/?p=24178"},"modified":"2025-11-27T09:42:36","modified_gmt":"2025-11-27T09:42:36","slug":"which-tools-are-best-for-data-science-beginners","status":"publish","type":"post","link":"https:\/\/gtracademy.org\/staging\/which-tools-are-best-for-data-science-beginners\/","title":{"rendered":"Which Tools Are Best for Data Science Beginners? \u2013 A Simple Guide 2025"},"content":{"rendered":"<p data-start=\"429\" data-end=\"729\">Ever wondered which tools are best for data science beginners? If you\u2019re just starting your data science journey, it&#8217;s completely normal to feel overwhelmed. There are so many tools, platforms, languages, and buzzwords floating around Python, R, Jupiter, Tableau, TensorFlow, SQL, Kaggle, and more. <strong>Which\u00a0Tools Are Best for <a href=\"https:\/\/gtracademy.org\/data-science-ai-course-online-with-ml-dl-nlp\/\">Data Science<\/a> Beginners<\/strong><\/p>\n<p data-start=\"731\" data-end=\"904\">The truth is you don\u2019t need to learn everything. You only need to start with the tools that are practical, beginner-friendly, and essential for building strong foundations.<\/p>\n<p data-start=\"906\" data-end=\"1148\">In this blog, I\u2019ll help you understand the best tools for beginners, why they\u2019re important, and how they fit into your data science roadmap. You\u2019ll also find real-world examples, friendly advice, and FAQs to help you move forward confidently.<\/p>\n<p data-start=\"906\" data-end=\"1148\"><strong><span style=\"font-size: 18pt;\">Connect With Us:<a href=\"https:\/\/api.whatsapp.com\/send\/?phone=919650518049&amp;text=Hi%2C%20I%20want%20to%20know%20more%20about%20GTR%20academy%20courses\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #339966;\"> WhatsApp<\/span><\/a><\/span><\/strong><\/p>\n<p data-start=\"906\" data-end=\"1148\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-24179\" src=\"https:\/\/gtracademy.org\/wp-content\/uploads\/2025\/11\/gtr-academy-27-1.webp\" alt=\"Which Tools Are Best for Data Science Beginners ?\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/gtracademy.org\/staging\/wp-content\/uploads\/2025\/11\/gtr-academy-27-1.webp 1920w, https:\/\/gtracademy.org\/staging\/wp-content\/uploads\/2025\/11\/gtr-academy-27-1-300x169.webp 300w, https:\/\/gtracademy.org\/staging\/wp-content\/uploads\/2025\/11\/gtr-academy-27-1-1024x576.webp 1024w, https:\/\/gtracademy.org\/staging\/wp-content\/uploads\/2025\/11\/gtr-academy-27-1-768x432.webp 768w, https:\/\/gtracademy.org\/staging\/wp-content\/uploads\/2025\/11\/gtr-academy-27-1-1536x864.webp 1536w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/><\/p>\n<h2 data-start=\"1155\" data-end=\"1198\"><strong data-start=\"1158\" data-end=\"1198\">Why Choosing the Right Tools Matters<\/strong><\/h2>\n<p data-start=\"1200\" data-end=\"1404\">When I first explored data science, I downloaded everything I could find RStudio, Spyder, KNIME, TensorFlow, and even Hadoop without knowing how they worked.<br data-start=\"1361\" data-end=\"1364\" \/>I ended up more confused than confident.<\/p>\n<p data-start=\"1406\" data-end=\"1516\">But here\u2019s the secret: <strong data-start=\"1429\" data-end=\"1516\">data science is not about using many tools it\u2019s about using the right tools well.<\/strong><\/p>\n<p data-start=\"1518\" data-end=\"1629\">Think of data science like cooking. You don\u2019t need a hundred utensils only the essential ones used every day.<\/p>\n<h2 data-start=\"1636\" data-end=\"1683\"><strong data-start=\"1638\" data-end=\"1683\">The Best Tools for Data Science Beginners<\/strong><\/h2>\n<p data-start=\"1685\" data-end=\"1838\">Let\u2019s break it down based on the most important stages of a data science workflow:<br data-start=\"1767\" data-end=\"1770\" \/><strong data-start=\"1770\" data-end=\"1838\">coding, data preprocessing, visualization, and machine learning.<\/strong><\/p>\n<h3 data-start=\"1845\" data-end=\"1889\"><strong data-start=\"1848\" data-end=\"1889\">1. Python The Heart of Data Science<\/strong><\/h3>\n<p data-start=\"1891\" data-end=\"1998\">If you\u2019re wondering, <em data-start=\"1912\" data-end=\"1964\">\u201cWhich programming language should I learn first?\u201d<\/em> The answer is simple: <strong data-start=\"1987\" data-end=\"1997\">Python<\/strong>.<\/p>\n<p data-start=\"2000\" data-end=\"2015\"><strong data-start=\"2000\" data-end=\"2015\">Why Python?<\/strong><\/p>\n<ul data-start=\"2016\" data-end=\"2150\">\n<li data-start=\"2016\" data-end=\"2059\">\n<p data-start=\"2018\" data-end=\"2059\">Easy to learn, even for non-programmers<\/p>\n<\/li>\n<li data-start=\"2060\" data-end=\"2086\">\n<p data-start=\"2062\" data-end=\"2086\">Huge community support<\/p>\n<\/li>\n<li data-start=\"2087\" data-end=\"2150\">\n<p data-start=\"2089\" data-end=\"2150\">Powerful libraries for data handling, visualization, and AI<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2152\" data-end=\"2190\"><strong data-start=\"2152\" data-end=\"2190\">Beginner-friendly Python libraries<\/strong><\/p>\n<ul data-start=\"2191\" data-end=\"2363\">\n<li data-start=\"2191\" data-end=\"2229\">\n<p data-start=\"2193\" data-end=\"2229\"><strong data-start=\"2193\" data-end=\"2203\">Pandas<\/strong> \u2013 for data manipulation<\/p>\n<\/li>\n<li data-start=\"2230\" data-end=\"2270\">\n<p data-start=\"2232\" data-end=\"2270\"><strong data-start=\"2232\" data-end=\"2241\">NumPy<\/strong> \u2013 for scientific computing<\/p>\n<\/li>\n<li data-start=\"2271\" data-end=\"2319\">\n<p data-start=\"2273\" data-end=\"2319\"><strong data-start=\"2273\" data-end=\"2297\">Matplotlib &amp; Seaborn<\/strong> \u2013 for visualization<\/p>\n<\/li>\n<li data-start=\"2320\" data-end=\"2363\">\n<p data-start=\"2322\" data-end=\"2363\"><strong data-start=\"2322\" data-end=\"2338\">Scikit-learn<\/strong> \u2013 for machine learning<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2365\" data-end=\"2427\">With these, you can start building real data science projects!<\/p>\n<h3 data-start=\"2434\" data-end=\"2495\"><strong data-start=\"2437\" data-end=\"2495\">2. Jupiter Notebook the Beginner-Friendly Playground<\/strong><\/h3>\n<p data-start=\"2497\" data-end=\"2627\">Think of Jupiter as your personal digital notebook. You can write code, run it, and see results instantly all in the same place.<\/p>\n<p data-start=\"2629\" data-end=\"2655\"><strong data-start=\"2629\" data-end=\"2655\">Why beginners love it:<\/strong><\/p>\n<ul data-start=\"2656\" data-end=\"2793\">\n<li data-start=\"2656\" data-end=\"2680\">\n<p data-start=\"2658\" data-end=\"2680\">No complicated setup<\/p>\n<\/li>\n<li data-start=\"2681\" data-end=\"2703\">\n<p data-start=\"2683\" data-end=\"2703\">Easy to experiment<\/p>\n<\/li>\n<li data-start=\"2704\" data-end=\"2746\">\n<p data-start=\"2706\" data-end=\"2746\">Perfect for learning and presentations<\/p>\n<\/li>\n<li data-start=\"2747\" data-end=\"2793\">\n<p data-start=\"2749\" data-end=\"2793\">Widely used in real data science workflows<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2795\" data-end=\"2908\">Whether you&#8217;re cleaning data, plotting graphs, or training your first ML model Jupiter makes everything simple.<\/p>\n<h3 data-start=\"2915\" data-end=\"2964\"><strong data-start=\"2918\" data-end=\"2964\">3. Google Colab Like Jupiter, But Better<\/strong><\/h3>\n<p data-start=\"2966\" data-end=\"3090\">If you don\u2019t want to install anything, choose <strong data-start=\"3012\" data-end=\"3028\">Google Colab<\/strong>.<br data-start=\"3029\" data-end=\"3032\" \/>It\u2019s Jupiter Notebook hosted online and completely free.<\/p>\n<p data-start=\"3092\" data-end=\"3111\"><strong data-start=\"3092\" data-end=\"3111\">Perks of Colab:<\/strong><\/p>\n<ul data-start=\"3112\" data-end=\"3263\">\n<li data-start=\"3112\" data-end=\"3142\">\n<p data-start=\"3114\" data-end=\"3142\">Free GPU for deep learning<\/p>\n<\/li>\n<li data-start=\"3143\" data-end=\"3181\">\n<p data-start=\"3145\" data-end=\"3181\">Save work directly to Google Drive<\/p>\n<\/li>\n<li data-start=\"3182\" data-end=\"3204\">\n<p data-start=\"3184\" data-end=\"3204\">Easy collaboration<\/p>\n<\/li>\n<li data-start=\"3205\" data-end=\"3263\">\n<p data-start=\"3207\" data-end=\"3263\">Perfect for running AI tools without a powerful laptop<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"3270\" data-end=\"3317\"><strong data-start=\"3273\" data-end=\"3317\">4. Excel The Underrated Essential Tool<\/strong><\/h3>\n<p data-start=\"3319\" data-end=\"3361\">Most beginners ignore Excel big mistake.<\/p>\n<p data-start=\"3363\" data-end=\"3405\">Before jumping to AI tools, Excel teaches:<\/p>\n<ul data-start=\"3406\" data-end=\"3502\">\n<li data-start=\"3406\" data-end=\"3430\">\n<p data-start=\"3408\" data-end=\"3430\">Data cleaning basics<\/p>\n<\/li>\n<li data-start=\"3431\" data-end=\"3468\">\n<p data-start=\"3433\" data-end=\"3468\">Pivot tables, filtering, formulas<\/p>\n<\/li>\n<li data-start=\"3469\" data-end=\"3502\">\n<p data-start=\"3471\" data-end=\"3502\">Beginner-level data reporting<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3504\" data-end=\"3575\">Many recruiters still test Excel skills for data science fresher roles.<\/p>\n<h3 data-start=\"3582\" data-end=\"3632\"><strong data-start=\"3585\" data-end=\"3632\">5. Tableau For Stunning Visual Dashboards<\/strong><\/h3>\n<p data-start=\"3634\" data-end=\"3678\">If you love visuals, <strong data-start=\"3655\" data-end=\"3666\">Tableau<\/strong> is perfect.<\/p>\n<p data-start=\"3680\" data-end=\"3689\">Used for:<\/p>\n<ul data-start=\"3690\" data-end=\"3771\">\n<li data-start=\"3690\" data-end=\"3712\">\n<p data-start=\"3692\" data-end=\"3712\">Data visualization<\/p>\n<\/li>\n<li data-start=\"3713\" data-end=\"3743\">\n<p data-start=\"3715\" data-end=\"3743\">Business data storytelling<\/p>\n<\/li>\n<li data-start=\"3744\" data-end=\"3771\">\n<p data-start=\"3746\" data-end=\"3771\">Professional dashboards<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3773\" data-end=\"3843\">No coding required just drag, drop, and create interactive insights.<\/p>\n<h3 data-start=\"3850\" data-end=\"3886\"><strong data-start=\"3853\" data-end=\"3886\">6. SQL The Language of Data<\/strong><\/h3>\n<p data-start=\"3888\" data-end=\"3966\">Every data scientist eventually works with large datasets stored in databases.<\/p>\n<p data-start=\"3968\" data-end=\"3982\">SQL helps you:<\/p>\n<ul data-start=\"3983\" data-end=\"4061\">\n<li data-start=\"3983\" data-end=\"3999\">\n<p data-start=\"3985\" data-end=\"3999\">Extract data<\/p>\n<\/li>\n<li data-start=\"4000\" data-end=\"4018\">\n<p data-start=\"4002\" data-end=\"4018\">Clean datasets<\/p>\n<\/li>\n<li data-start=\"4019\" data-end=\"4061\">\n<p data-start=\"4021\" data-end=\"4061\">Analyze raw data directly in databases<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4063\" data-end=\"4125\">Even if you use Python, SQL knowledge makes you more valuable.<\/p>\n<h3 data-start=\"4132\" data-end=\"4190\"><strong data-start=\"4135\" data-end=\"4190\">7. Power BI A Favorite for Business-Focused Roles<\/strong><\/h3>\n<p data-start=\"4192\" data-end=\"4249\">Power BI is Microsoft\u2019s powerful data visualization tool.<\/p>\n<p data-start=\"4251\" data-end=\"4261\">Use it to:<\/p>\n<ul data-start=\"4262\" data-end=\"4337\">\n<li data-start=\"4262\" data-end=\"4283\">\n<p data-start=\"4264\" data-end=\"4283\">Create dashboards<\/p>\n<\/li>\n<li data-start=\"4284\" data-end=\"4314\">\n<p data-start=\"4286\" data-end=\"4314\">Generate business insights<\/p>\n<\/li>\n<li data-start=\"4315\" data-end=\"4337\">\n<p data-start=\"4317\" data-end=\"4337\">Automate reporting<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4339\" data-end=\"4395\">Companies love candidates skilled in <strong data-start=\"4376\" data-end=\"4394\">Power BI + SQL<\/strong>.<\/p>\n<h3 data-start=\"4402\" data-end=\"4453\"><strong data-start=\"4405\" data-end=\"4453\">8. Kaggle Your Data Science Practice Field<\/strong><\/h3>\n<p data-start=\"4455\" data-end=\"4497\">Kaggle is perfect for real-world practice.<\/p>\n<p data-start=\"4499\" data-end=\"4511\">You\u2019ll find:<\/p>\n<ul data-start=\"4512\" data-end=\"4614\">\n<li data-start=\"4512\" data-end=\"4529\">\n<p data-start=\"4514\" data-end=\"4529\">Real datasets<\/p>\n<\/li>\n<li data-start=\"4530\" data-end=\"4546\">\n<p data-start=\"4532\" data-end=\"4546\">Competitions<\/p>\n<\/li>\n<li data-start=\"4547\" data-end=\"4578\">\n<p data-start=\"4549\" data-end=\"4578\">Projects for your portfolio<\/p>\n<\/li>\n<li data-start=\"4579\" data-end=\"4614\">\n<p data-start=\"4581\" data-end=\"4614\">A global data science community<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4616\" data-end=\"4648\">Beginners can easily start here.<\/p>\n<h3 data-start=\"4655\" data-end=\"4708\"><strong data-start=\"4658\" data-end=\"4708\">9. Scikit-learn Machine Learning Made Simple<\/strong><\/h3>\n<p data-start=\"4710\" data-end=\"4781\">After Python basics, Scikit-learn is the best ML library to begin with.<\/p>\n<p data-start=\"4783\" data-end=\"4797\">You can build:<\/p>\n<ul data-start=\"4798\" data-end=\"4894\">\n<li data-start=\"4798\" data-end=\"4823\">\n<p data-start=\"4800\" data-end=\"4823\">Classification models<\/p>\n<\/li>\n<li data-start=\"4824\" data-end=\"4845\">\n<p data-start=\"4826\" data-end=\"4845\">Prediction models<\/p>\n<\/li>\n<li data-start=\"4846\" data-end=\"4867\">\n<p data-start=\"4848\" data-end=\"4867\">Regression models<\/p>\n<\/li>\n<li data-start=\"4868\" data-end=\"4894\">\n<p data-start=\"4870\" data-end=\"4894\">Recommendation systems<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4896\" data-end=\"4932\">Without deep math or complex coding.<\/p>\n<h3 data-start=\"4939\" data-end=\"4995\"><strong data-start=\"4942\" data-end=\"4995\">10. Important AI Tools for Data Science Beginners<\/strong><\/h3>\n<p data-start=\"4997\" data-end=\"5033\">AI-based tools make learning easier.<\/p>\n<p data-start=\"5035\" data-end=\"5067\">Popular beginner-friendly tools:<\/p>\n<ul data-start=\"5068\" data-end=\"5218\">\n<li data-start=\"5068\" data-end=\"5122\">\n<p data-start=\"5070\" data-end=\"5122\"><strong data-start=\"5070\" data-end=\"5084\">RapidMiner<\/strong> \u2013 drag-and-drop predictive modeling<\/p>\n<\/li>\n<li data-start=\"5123\" data-end=\"5165\">\n<p data-start=\"5125\" data-end=\"5165\"><strong data-start=\"5125\" data-end=\"5134\">KNIME<\/strong> \u2013 visual analytics workflows<\/p>\n<\/li>\n<li data-start=\"5166\" data-end=\"5218\">\n<p data-start=\"5168\" data-end=\"5218\"><strong data-start=\"5168\" data-end=\"5178\">Orange<\/strong> \u2013 visual machine learning experiments<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"5220\" data-end=\"5272\">They help you understand ML concepts without coding.<\/p>\n<h2 data-start=\"5279\" data-end=\"5332\"><strong data-start=\"5281\" data-end=\"5332\">Where Can You Learn Data Science the Right Way?<\/strong><\/h2>\n<p data-start=\"5334\" data-end=\"5410\">If you\u2019re serious about learning data science, consider structured training.<\/p>\n<p data-start=\"5412\" data-end=\"5512\"><strong data-start=\"5412\" data-end=\"5427\">GTR Academy<\/strong> is known not only for SAP but also for <strong data-start=\"5467\" data-end=\"5506\">data science and analytics training<\/strong> with:<\/p>\n<ul data-start=\"5514\" data-end=\"5686\">\n<li data-start=\"5514\" data-end=\"5550\">\n<p data-start=\"5516\" data-end=\"5550\">Beginner-friendly Python and SQL<\/p>\n<\/li>\n<li data-start=\"5551\" data-end=\"5602\">\n<p data-start=\"5553\" data-end=\"5602\">Hands-on projects, dashboards, and case studies<\/p>\n<\/li>\n<li data-start=\"5603\" data-end=\"5631\">\n<p data-start=\"5605\" data-end=\"5631\">Real-time tools training<\/p>\n<\/li>\n<li data-start=\"5632\" data-end=\"5686\">\n<p data-start=\"5634\" data-end=\"5686\">Job-focused preparation and certification guidance<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"5688\" data-end=\"5797\">If you want mentorship and real projects rather than just watching videos, GTR Academy is an excellent start.<\/p>\n<h2 data-start=\"5804\" data-end=\"5846\"><strong data-start=\"5806\" data-end=\"5846\">Top 10 FAQs About Data Science Tools<\/strong><\/h2>\n<p data-start=\"5848\" data-end=\"5970\"><strong data-start=\"5848\" data-end=\"5903\">1. Which tools are best for data science beginners?<\/strong><br data-start=\"5903\" data-end=\"5906\" \/>Python, Jupiter Notebook, Excel, Tableau, SQL, and Google Colab.<\/p>\n<p data-start=\"5972\" data-end=\"6103\"><strong data-start=\"5972\" data-end=\"6019\">2. Can I learn data science without coding?<\/strong><br data-start=\"6019\" data-end=\"6022\" \/>Yes, you can start with Excel, Tableau, Power BI \u2014 but Python is important later.<\/p>\n<p data-start=\"6105\" data-end=\"6199\"><strong data-start=\"6105\" data-end=\"6161\">3. Which software is used most in data science jobs?<\/strong><br data-start=\"6161\" data-end=\"6164\" \/>Python, SQL, Tableau, and Power BI.<\/p>\n<p data-start=\"6201\" data-end=\"6293\"><strong data-start=\"6201\" data-end=\"6246\">4. Is Python better than R for beginners?<\/strong><br data-start=\"6246\" data-end=\"6249\" \/>Yes, Python is simpler and more widely used.<\/p>\n<p data-start=\"6295\" data-end=\"6413\"><strong data-start=\"6295\" data-end=\"6339\">5. Can I practice data science for free?<\/strong><br data-start=\"6339\" data-end=\"6342\" \/>Yes Google Colab, Kaggle, Jupiter, and Python libraries are all free.<\/p>\n<p data-start=\"6415\" data-end=\"6494\"><strong data-start=\"6415\" data-end=\"6465\">6. What tools are used for data preprocessing?<\/strong><br data-start=\"6465\" data-end=\"6468\" \/>Excel, Pandas, NumPy, SQL.<\/p>\n<p data-start=\"6496\" data-end=\"6585\"><strong data-start=\"6496\" data-end=\"6543\">7. Which tools are best for visualizations?<\/strong><br data-start=\"6543\" data-end=\"6546\" \/>Tableau, Power BI, Matplotlib, Seaborn.<\/p>\n<p data-start=\"6587\" data-end=\"6704\"><strong data-start=\"6587\" data-end=\"6648\">8. Where can I download a data science tools list in PDF?<\/strong><br data-start=\"6648\" data-end=\"6651\" \/>On GitHub, official websites, and learning platforms.<\/p>\n<p data-start=\"6706\" data-end=\"6795\"><strong data-start=\"6706\" data-end=\"6746\">9. Is AI used in data science tools?<\/strong><br data-start=\"6746\" data-end=\"6749\" \/>Yes TensorFlow, RapidMiner, Auto ML, ChatGPT.<\/p>\n<p data-start=\"6797\" data-end=\"6917\"><strong data-start=\"6797\" data-end=\"6856\">10. Where can I learn data science tools with guidance?<\/strong><br data-start=\"6856\" data-end=\"6859\" \/><a href=\"https:\/\/gtracademy.org\/\"><strong>GTR Academy<\/strong><\/a> offers structured training with real projects.<\/p>\n<p data-start=\"6797\" data-end=\"6917\"><strong><span style=\"font-size: 18pt;\">Connect With Us:<a href=\"https:\/\/api.whatsapp.com\/send\/?phone=919650518049&amp;text=Hi%2C%20I%20want%20to%20know%20more%20about%20GTR%20academy%20courses\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #339966;\"> WhatsApp<\/span><\/a><\/span><\/strong><\/p>\n<h2 data-start=\"6924\" data-end=\"6944\"><strong data-start=\"6926\" data-end=\"6944\">Final Thought<\/strong><\/h2>\n<p data-start=\"6946\" data-end=\"7099\">Starting your <a href=\"https:\/\/gtracademy.org\/data-science-ai-course-online-with-ml-dl-nlp\/\"><strong>data science<\/strong><\/a> journey doesn\u2019t mean learning everything at once.<br data-start=\"7022\" data-end=\"7025\" \/>Begin with one tool. Practice. Build projects. Make mistakes. Learn again.<\/p>\n<p data-start=\"7101\" data-end=\"7142\">That\u2019s how real data scientists are made.<\/p>\n<p data-start=\"7144\" data-end=\"7284\">If you\u2019re waiting for the perfect time to start this, is it.<br data-start=\"7209\" data-end=\"7212\" \/>Pick a tool. Take your first step. Your data science journey begins now.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ever wondered which tools are best for data science beginners? If you\u2019re just starting your data science journey, it&#8217;s completely normal to feel overwhelmed. There are so many tools, platforms, languages, and buzzwords floating around Python, R, Jupiter, Tableau, TensorFlow, SQL, Kaggle, and more. Which\u00a0Tools Are Best for Data Science Beginners The truth is you&#8230;<\/p>\n","protected":false},"author":5,"featured_media":24179,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"default","_kad_post_title":"default","_kad_post_layout":"default","_kad_post_sidebar_id":"","_kad_post_content_style":"default","_kad_post_vertical_padding":"default","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[1427],"tags":[2283,60,2285,2286,2287,2284],"class_list":["post-24178","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","tag-data-science-tools","tag-power-bi","tag-python-for-data-science","tag-sql-for-beginners","tag-tableau","tag-tools-for-data-science-beginners"],"_links":{"self":[{"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/posts\/24178","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/comments?post=24178"}],"version-history":[{"count":0,"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/posts\/24178\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/media\/24179"}],"wp:attachment":[{"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/media?parent=24178"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/categories?post=24178"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gtracademy.org\/staging\/wp-json\/wp\/v2\/tags?post=24178"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}