Learn Data Science in Hindi
Data science is a rapidly growing field that deals with extracting valuable insights and knowledge from large sets of data. It has become a popular choice for students and professionals who are interested in building a career in data-driven decision-making. But the language barrier often limits many people from learning this skill, especially in a country like India where Hindi is widely spoken. In this article, we will guide you on how to learn data science in Hindi, the best courses, and resources available online.
Why Learn Data Science in Hindi?
In India, Hindi is the most commonly spoken language, and many people are more comfortable learning in their native language. Learning data science in Hindi can help you understand complex concepts easily, and you can learn faster, leading to better retention of information. Also, Hindi is an essential language for business and government purposes, and knowing the language can open up new opportunities for your career growth.
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
<blockquote class="instagram-media" data-instgrm-captioned data-instgrm-permalink="https://www.instagram.com/p/CrXoGJTr9o6/?utm_source=ig_embed&utm_campaign=loading" data-instgrm-version="14" style=" background:#FFF; border:0; border-radius:3px; box-shadow:0 0 1px 0 rgba(0,0,0,0.5),0 1px 10px 0 rgba(0,0,0,0.15); margin: 1px; max-width:540px; min-width:326px; padding:0; width:99.375%; width:-webkit-calc(100% - 2px); width:calc(100% - 2px);"><div style="padding:16px;"> <a href="https://www.instagram.com/p/CrXoGJTr9o6/?utm_source=ig_embed&utm_campaign=loading" style=" background:#FFFFFF; line-height:0; padding:0 0; text-align:center; text-decoration:none; width:100%;" target="_blank"> <div style=" display: flex; flex-direction: row; align-items: center;"> <div style="background-color: #F4F4F4; border-radius: 50%; flex-grow: 0; height: 40px; margin-right: 14px; width: 40px;"></div> <div style="display: flex; flex-direction: column; flex-grow: 1; justify-content: center;"> <div style=" background-color: #F4F4F4; border-radius: 4px; flex-grow: 0; height: 14px; margin-bottom: 6px; width: 100px;"></div> <div style=" background-color: #F4F4F4; border-radius: 4px; flex-grow: 0; height: 14px; width: 60px;"></div></div></div><div style="padding: 19% 0;"></div> <div style="display:block; height:50px; margin:0 auto 12px; width:50px;"><svg width="50px" height="50px" viewBox="0 0 60 60" version="1.1" xmlns="https://www.w3.org/2000/svg" xmlns:xlink="https://www.w3.org/1999/xlink"><g stroke="none" stroke-width="1" fill="none" fill-rule="evenodd"><g transform="translate(-511.000000, -20.000000)" fill="#000000"><g><path d="M556.869,30.41 C554.814,30.41 553.148,32.076 553.148,34.131 C553.148,36.186 554.814,37.852 556.869,37.852 C558.924,37.852 560.59,36.186 560.59,34.131 C560.59,32.076 558.924,30.41 556.869,30.41 M541,60.657 C535.114,60.657 530.342,55.887 530.342,50 C530.342,44.114 535.114,39.342 541,39.342 C546.887,39.342 551.658,44.114 551.658,50 C551.658,55.887 546.887,60.657 541,60.657 M541,33.886 C532.1,33.886 524.886,41.1 524.886,50 C524.886,58.899 532.1,66.113 541,66.113 C549.9,66.113 557.115,58.899 557.115,50 C557.115,41.1 549.9,33.886 541,33.886 M565.378,62.101 C565.244,65.022 564.756,66.606 564.346,67.663 C563.803,69.06 563.154,70.057 562.106,71.106 C561.058,72.155 560.06,72.803 558.662,73.347 C557.607,73.757 556.021,74.244 553.102,74.378 C549.944,74.521 548.997,74.552 541,74.552 C533.003,74.552 532.056,74.521 528.898,74.378 C525.979,74.244 524.393,73.757 523.338,73.347 C521.94,72.803 520.942,72.155 519.894,71.106 C518.846,70.057 518.197,69.06 517.654,67.663 C517.244,66.606 516.755,65.022 516.623,62.101 C516.479,58.943 516.448,57.996 516.448,50 C516.448,42.003 516.479,41.056 516.623,37.899 C516.755,34.978 517.244,33.391 517.654,32.338 C518.197,30.938 518.846,29.942 519.894,28.894 C520.942,27.846 521.94,27.196 523.338,26.654 C524.393,26.244 525.979,25.756 528.898,25.623 C532.057,25.479 533.004,25.448 541,25.448 C548.997,25.448 549.943,25.479 553.102,25.623 C556.021,25.756 557.607,26.244 558.662,26.654 C560.06,27.196 561.058,27.846 562.106,28.894 C563.154,29.942 563.803,30.938 564.346,32.338 C564.756,33.391 565.244,34.978 565.378,37.899 C565.522,41.056 565.552,42.003 565.552,50 C565.552,57.996 565.522,58.943 565.378,62.101 M570.82,37.631 C570.674,34.438 570.167,32.258 569.425,30.349 C568.659,28.377 567.633,26.702 565.965,25.035 C564.297,23.368 562.623,22.342 560.652,21.575 C558.743,20.834 556.562,20.326 553.369,20.18 C550.169,20.033 549.148,20 541,20 C532.853,20 531.831,20.033 528.631,20.18 C525.438,20.326 523.257,20.834 521.349,21.575 C519.376,22.342 517.703,23.368 516.035,25.035 C514.368,26.702 513.342,28.377 512.574,30.349 C511.834,32.258 511.326,34.438 511.181,37.631 C511.035,40.831 511,41.851 511,50 C511,58.147 511.035,59.17 511.181,62.369 C511.326,65.562 511.834,67.743 512.574,69.651 C513.342,71.625 514.368,73.296 516.035,74.965 C517.703,76.634 519.376,77.658 521.349,78.425 C523.257,79.167 525.438,79.673 528.631,79.82 C531.831,79.965 532.853,80.001 541,80.001 C549.148,80.001 550.169,79.965 553.369,79.82 C556.562,79.673 558.743,79.167 560.652,78.425 C562.623,77.658 564.297,76.634 565.965,74.965 C567.633,73.296 568.659,71.625 569.425,69.651 C570.167,67.743 570.674,65.562 570.82,62.369 C570.966,59.17 571,58.147 571,50 C571,41.851 570.966,40.831 570.82,37.631"></path></g></g></g></svg></div><div style="padding-top: 8px;"> <div style=" color:#3897f0; font-family:Arial,sans-serif; font-size:14px; font-style:normal; font-weight:550; line-height:18px;">View this post on Instagram</div></div><div style="padding: 12.5% 0;"></div> <div style="display: flex; flex-direction: row; margin-bottom: 14px; align-items: center;"><div> <div style="background-color: #F4F4F4; border-radius: 50%; height: 12.5px; width: 12.5px; transform: translateX(0px) translateY(7px);"></div> <div style="background-color: #F4F4F4; height: 12.5px; transform: rotate(-45deg) translateX(3px) translateY(1px); width: 12.5px; flex-grow: 0; margin-right: 14px; margin-left: 2px;"></div> <div style="background-color: #F4F4F4; border-radius: 50%; height: 12.5px; width: 12.5px; transform: translateX(9px) translateY(-18px);"></div></div><div style="margin-left: 8px;"> <div style=" background-color: #F4F4F4; border-radius: 50%; flex-grow: 0; height: 20px; width: 20px;"></div> <div style=" width: 0; height: 0; border-top: 2px solid transparent; border-left: 6px solid #f4f4f4; border-bottom: 2px solid transparent; transform: translateX(16px) translateY(-4px) rotate(30deg)"></div></div><div style="margin-left: auto;"> <div style=" width: 0px; border-top: 8px solid #F4F4F4; border-right: 8px solid transparent; transform: translateY(16px);"></div> <div style=" background-color: #F4F4F4; flex-grow: 0; height: 12px; width: 16px; transform: translateY(-4px);"></div> <div style=" width: 0; height: 0; border-top: 8px solid #F4F4F4; border-left: 8px solid transparent; transform: translateY(-4px) translateX(8px);"></div></div></div> <div style="display: flex; flex-direction: column; flex-grow: 1; justify-content: center; margin-bottom: 24px;"> <div style=" background-color: #F4F4F4; border-radius: 4px; flex-grow: 0; height: 14px; margin-bottom: 6px; width: 224px;"></div> <div style=" background-color: #F4F4F4; border-radius: 4px; flex-grow: 0; height: 14px; width: 144px;"></div></div></a><p style=" color:#c9c8cd; font-family:Arial,sans-serif; font-size:14px; line-height:17px; margin-bottom:0; margin-top:8px; overflow:hidden; padding:8px 0 7px; text-align:center; text-overflow:ellipsis; white-space:nowrap;"><a href="https://www.instagram.com/p/CrXoGJTr9o6/?utm_source=ig_embed&utm_campaign=loading" style=" color:#c9c8cd; font-family:Arial,sans-serif; font-size:14px; font-style:normal; font-weight:normal; line-height:17px; text-decoration:none;" target="_blank">A post shared by Console Flare | Online Data Analytics & Data Science Training (@consoleflare)</a></p></div></blockquote> <script async src="//www.instagram.com/embed.js"></script>
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
Data Science Courses in Hindi
There are several data science courses available in Hindi that can help you start your learning journey. Here are some of the best online courses:
1. Data Science Courses by ConsoleFlare
Based in Noida, ConsoleFlare is one of the most renowned institutes in India for data analytics & data science courses. Providing industry-led training, they offer two courses that make you ready for the profiles of Data Analyst, Bigdata Analyst, Data Engineer, Data Warehouse Manager, Machine Learning Engineer, Power BI Analyst, Business Analyst, and Data Scientist.
Their training is live, interactive, and bilingual (Hindi & English).
Having instructors from corporate backgrounds, their training quality is high-end and ensures that any tech or non-tech professional can pursue data science as a career by learning relevant tools and technical skills.
ConsoleFlare is well-known for its quality training and out-of-the-world perks they provide to its students. Here are some of the best features of ConsoleFlare data science training programs:
🚀Live & Interactive Sessions
🚀Affordable Courses with EMI Options
🚀Industry-expert Trainers From Companies Like Microsoft, Deloitte, Cyient, and MAQ Software
🚀Training in Hindi & English
🚀Instant Doubt Resolution
🚀Lifetime Access to Course Material and Session Recordings
🚀100% Placement Assistance
🚀Course Completion Certificate
🚀Guaranteed Internships in Top Companies
🚀Amazing Placement Figures & Record
If you’re willing to learn data science in Hindi, there cannot be a better choice than ConsoleFlare. Want to know more about ConsoleFlare? Visit the website.
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
2. Data Science Course by Great Learning
Great Learning offers a comprehensive data science course in Hindi, covering all the essential topics like data analysis, machine learning, deep learning, and more. The course is designed for beginners and includes hands-on projects, case studies, and industry-relevant content.
3. Data Science Course by Jigsaw Academy
Jigsaw Academy is one of the top online platforms for data science courses in India. They offer a data science course in Hindi that covers all the necessary topics and provides industry-relevant projects and assignments.
4. Data Science Course by Simplilearn
Simplilearn is a well-known name in the online learning space, offering courses in various domains. They also have a data science course in Hindi that covers all the fundamental concepts and provides hands-on experience with real-life projects.
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
Online Resources for Learning Data Science in Hindi
Apart from online courses, there are several resources available that can help you learn data science in Hindi. Here are some of the best resources:
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
1. Udemy
Udemy is a popular platform for data science enthusiasts. They provide courses, tutorials, articles, and blogs in different languages, covering all the essential topics in data science and analytics.
2. Coursera
Coursera is one of the most popular online learning platforms, offering courses in various domains, including data science. They have several data science courses in Hindi, including courses from reputed universities like IBM and Johns Hopkins.
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
3. YouTube Channels
There are several YouTube channels that provide tutorials and lectures on data science in Hindi. Some of the popular channels include Data Science Tutorials, Data Science in Hindi, and Data Science Simplified.
Data Science Jobs in India
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
Data science is a highly lucrative field, and there is a high demand for skilled professionals in the industry. According to a report by Analytics India Magazine, the data science job market in India is expected to grow at a CAGR of 30% by 2025. Here are some of the top job roles in data science:
a. Data Analyst
A data analyst is responsible for collecting, analyzing, and interpreting large sets of data. They use statistical tools and techniques to identify trends and patterns and provide insights to the stakeholders.
b. Data Scientist
A data scientist is responsible for building predictive models and algorithms to solve complex business problems. They use machine learning and deep learning techniques to extract valuable insights from large sets of data.
c. Business Intelligence Analyst
A business intelligence analyst is responsible for providing insights and recommendations to the business stakeholders. They use data visualization tools and techniques to present the data in a meaningful way.
Apart from the above profiles, there are many profiles that you can opt for in the data science field. The salaries in data science are comparatively higher than the other fields and it varies according to the company, experience, projects, locations, and many more factors.
You’re reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources.
Hope you liked reading the article, Learn Data Science in Hindi: Expert Recommendations and Resources. please share your thoughts in the comments section below.
- Learn Data Science in Hindi: Python for Data Analytics
- Learn Data Science in Hindi: Masters in Data Science With Power BI