Doing Economics by CORE Econ
১ হাজাৰ+
ডাউনল’ড
সকলো
info
এই এপ্টোৰ বিষয়ে
Doing Economics is a unique, freely available resource for learning a valuable array of data handling, software, and statistical skills that will be transferable to a range of courses and to the workplace.
Its 13 projects relate to key chapters in both Economy, Society, and Public Policy and The Economy but they can be used alongside other courses or for self-study.
Each project gives students the opportunity to gain hands-on experience with real-world data, and produce their own reports. They use step-by-step instructions, plus a combination of curated data sets and publicly available data to investigate a topic, whether it’s the effect of a sugar tax, measuring wellbeing or inequality, or analysing climate change data.
Readers can choose whether they want to tackle the tasks by using either a spreadsheet software (Excel or Google Sheets) or a programming language (R or Python). We do not expect readers to have deep prior working knowledge of either but they need to have a willingness to learn these practical skills. Readers will be guided through the data handling and statistical tasks with step-by-step instructions, gaining valuable workplace skills.
Each project contains easy pop-up definitions and references, as well as videos and transcripts, to enhance the interactive learning experience.
This app has search functionality, a glossary, unit reference lists, a bibliography, and more. You can also find a host of additional free teaching and learning resources.
Its 13 projects relate to key chapters in both Economy, Society, and Public Policy and The Economy but they can be used alongside other courses or for self-study.
Each project gives students the opportunity to gain hands-on experience with real-world data, and produce their own reports. They use step-by-step instructions, plus a combination of curated data sets and publicly available data to investigate a topic, whether it’s the effect of a sugar tax, measuring wellbeing or inequality, or analysing climate change data.
Readers can choose whether they want to tackle the tasks by using either a spreadsheet software (Excel or Google Sheets) or a programming language (R or Python). We do not expect readers to have deep prior working knowledge of either but they need to have a willingness to learn these practical skills. Readers will be guided through the data handling and statistical tasks with step-by-step instructions, gaining valuable workplace skills.
Each project contains easy pop-up definitions and references, as well as videos and transcripts, to enhance the interactive learning experience.
This app has search functionality, a glossary, unit reference lists, a bibliography, and more. You can also find a host of additional free teaching and learning resources.
আপডে’ট কৰা তাৰিখ
বিকাশকৰ্তাসকলে আপোনাৰ ডেটা কেনেকৈ সংগ্ৰহ আৰু শ্বেয়াৰ কৰে সেয়া বুজি পোৱাৰ জৰিয়তে সুৰক্ষা আৰম্ভ হয়। ডেটাৰ গোপনীয়তা আৰু সুৰক্ষা প্ৰণালী আপোনাৰ ব্যৱহাৰ, অঞ্চল আৰু বয়সৰ ওপৰত ভিত্তি কৰি ভিন্ন হ’ব পাৰে। বিকাশকৰ্তাগৰাকীয়ে এই তথ্যখিনি প্ৰদান কৰিছে আৰু সময়ৰ লগে লগে এয়া আপডে’ট কৰিব পাৰে।
নতুন কি আছে
Add Python versions of Empirical Projects 1-12
Add Female Labour Supply project
Add Female Labour Supply project
