Advanced Certificate in Predictive Support with Text Analytics
-- ViewingNowThe Advanced Certificate in Predictive Support with Text Analytics is a comprehensive course designed to equip learners with the essential skills required in today's data-driven world. This certificate course focuses on predictive support and text analytics, two critical areas that are in high industry demand.
7,368+
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 Predictive Analytics: This unit covers advanced techniques and models in predictive analytics, including regression analysis, time series analysis, and machine learning algorithms.
⢠Text Preprocessing: This unit focuses on text preprocessing techniques, such as tokenization, stemming, lemmatization, and stop word removal, to prepare text data for analysis.
⢠Natural Language Processing (NLP): This unit explores the fundamentals of NLP, including part-of-speech tagging, named entity recognition, and sentiment analysis, and how to apply them to text analytics.
⢠Supervised Learning with Text Data: This unit covers supervised learning techniques for text analytics, including Naive Bayes, Support Vector Machines, and Logistic Regression.
⢠Unsupervised Learning with Text Data: This unit explores unsupervised learning techniques for text analytics, including clustering, topic modeling, and dimensionality reduction.
⢠Deep Learning for Text Analytics: This unit delves into deep learning techniques, including Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Convolutional Neural Networks (CNNs), for text analytics.
⢠Predictive Support: This unit focuses on how to apply predictive analytics and text analytics to provide predictive support in various industries and domains.
⢠Evaluation Metrics for Predictive Models: This unit covers the evaluation metrics for predictive models, including accuracy, precision, recall, F1 score, ROC curve, and AUC.
⢠Ethical Considerations in Predictive Analytics: This unit explores the ethical considerations in predictive analytics, including data privacy, bias, and fairness.
⢠Advanced Topics in Predictive Analytics: This unit covers advanced topics in predictive analytics, including anomaly detection, recommendation systems, and network analysis.
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
