Advanced Certificate in Twitter Data for Research
-- ViewingNowThe Advanced Certificate in Twitter Data for Research is a comprehensive course designed to equip learners with essential skills in leveraging Twitter data for research purposes. This course is crucial in today's data-driven world, where Twitter data has become a valuable resource for insights into social trends, public opinion, and market research.
4,265+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
ě´ ęłźě ě ëí´
100% ě¨ëźě¸
ě´ëěë íěľ
ęłľě ę°ëĽí ě¸ěŚě
LinkedIn íëĄíě ěśę°
ěëŁęšě§ 2ę°ě
죟 2-3ěę°
ě¸ě ë ěě
ë기 ę¸°ę° ěě
ęłźě ě¸ëśěŹí
⢠Advanced Twitter Data Analysis: This unit will cover the advanced techniques for analyzing Twitter data, including data cleaning, preprocessing, and visualization. It will also cover statistical analysis and machine learning techniques to extract insights from Twitter data. ⢠Twitter API and Data Collection: This unit will focus on using Twitter API for data collection. It will cover different endpoints, rate limits, and authentication methods. It will also cover various tools and libraries for collecting Twitter data. ⢠Sentiment Analysis and Text Mining: This unit will cover sentiment analysis and text mining techniques for analyzing Twitter data. It will cover supervised and unsupervised learning approaches, as well as the evaluation of sentiment analysis models. ⢠Social Network Analysis and Graph Theory: This unit will cover social network analysis and graph theory concepts for analyzing Twitter data. It will cover centrality measures, community detection, and network visualization techniques. ⢠Twitter Data for Business and Marketing: This unit will focus on using Twitter data for business and marketing purposes. It will cover brand monitoring, customer feedback, and competitor analysis. It will also cover the ethical considerations of using Twitter data for business purposes. ⢠Natural Language Processing (NLP) Techniques for Twitter Data: This unit will cover advanced NLP techniques for analyzing Twitter data, including topic modeling, entity recognition, and part-of-speech tagging. ⢠Advanced Machine Learning Techniques for Twitter Data: This unit will cover advanced machine learning techniques for analyzing Twitter data, including deep learning, neural networks, and ensemble methods. ⢠Twitter Data for Social Science Research: This unit will focus on using Twitter data for social science research. It will cover research design, data collection, and data analysis techniques. ⢠Data Visualization and Communication: This unit will cover data visualization and communication techniques for presenting Twitter data insights. It will cover different visualization tools and libraries, as well as best practices for data visualization and communication.
ę˛˝ë Ľ 경ëĄ
ě í ěęą´
- 죟ě ě ëí 기본 ě´í´
- ěě´ ě¸ě´ ëĽěë
- ěť´í¨í° ë° ě¸í°ëˇ ě ꡟ
- 기본 ěť´í¨í° 기ě
- ęłźě ěëŁě ëí íě
ěŹě ęłľě ěę˛Šě´ íěíě§ ěěľëë¤. ě ꡟěąě ěí´ ě¤ęłë ęłźě .
ęłźě ěí
ě´ ęłźě ě ę˛˝ë Ľ ę°ë°ě ěí ě¤ěŠě ě¸ ě§ěęłź 기ě ě ě ęłľíŠëë¤. ꡸ę˛ě:
- ě¸ě ë°ě 기ę´ě ěí´ ě¸ěŚëě§ ěě
- ęśíě´ ěë 기ę´ě ěí´ ęˇě ëě§ ěě
- ęłľě ě겊ě ëł´ěě
ęłźě ě ěąęłľě ěźëĄ ěëŁí늴 ěëŁ ě¸ěŚě뼟 ë°ę˛ ëŠëë¤.
ě ěŹëë¤ě´ ę˛˝ë Ľě ěí´ ě°ëŚŹëĽź ě ííëę°
댏롰 ëĄëŠ ě¤...
ě죟 돝ë ě§ëŹ¸
ě˝ě¤ ěę°ëŁ
- 죟 3-4ěę°
- 쥰기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- 죟 2-3ěę°
- ě 기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- ě 체 ě˝ě¤ ě ꡟ
- ëě§í¸ ě¸ěŚě
- ě˝ě¤ ěëŁ
ęłźě ě ëł´ ë°ę¸°
íěŹëĄ ě§ëś
ě´ ęłźě ě ëšěŠě ě§ëśí기 ěí´ íěŹëĽź ěí ě˛ęľŹě뼟 ěě˛íě¸ě.
ě˛ęľŹěëĄ ę˛°ě ę˛˝ë Ľ ě¸ěŚě íë
