Professional Certificate in Data Analytics: Innovative Techniques
-- ViewingNowThe Professional Certificate in Data Analytics: Innovative Techniques is a comprehensive course designed to equip learners with essential data analytics skills demanded by today's industry. This program covers a wide range of topics including data visualization, machine learning, and predictive analytics, providing a solid foundation for career advancement in this field.
5,102+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
ใใฎใณใผในใซใคใใฆ
100%ใชใณใฉใคใณ
ใฉใใใใงใๅญฆ็ฟ
ๅ ฑๆๅฏ่ฝใช่จผๆๆธ
LinkedInใใญใใฃใผใซใซ่ฟฝๅ
ๅฎไบใพใง2ใถๆ
้ฑ2-3ๆ้
ใใคใงใ้ๅง
ๅพ ๆฉๆ้ใชใ
ใณใผใน่ฉณ็ดฐ
โข Data Collection Techniques: This unit will cover various methods for collecting and gathering data, including surveys, interviews, and web scraping.
โข Data Cleaning and Pre-processing: This unit will teach students how to clean and pre-process data, including handling missing data, outliers, and data normalization.
โข Statistical Analysis: This unit will cover fundamental statistical concepts, such as descriptive statistics, probability distributions, and hypothesis testing.
โข Data Visualization: This unit will teach students how to create effective visualizations of data using tools like Tableau, PowerBI, and ggplot.
โข Machine Learning: This unit will cover various machine learning techniques, including supervised and unsupervised learning, and how to apply them to data analytics problems.
โข Big Data Analytics: This unit will cover the unique challenges and opportunities associated with analyzing large and complex data sets, including distributed computing and data storage techniques.
โข Ethics and Privacy in Data Analytics: This unit will cover the ethical considerations associated with data analytics, including privacy concerns, data ownership, and potential biases in data and algorithms.
โข Predictive Analytics: This unit will cover predictive modeling techniques, including regression analysis, time series analysis, and forecasting.
โข Natural Language Processing (NLP): This unit will teach students how to analyze and extract insights from unstructured text data using techniques like sentiment analysis, topic modeling, and named entity recognition.
ใญใฃใชใขใใน
ๅ ฅๅญฆ่ฆไปถ
- ไธป้กใฎๅบๆฌ็ใช็่งฃ
- ่ฑ่ชใฎ็ฟ็ๅบฆ
- ใณใณใใฅใผใฟใผใจใคใณใฟใผใใใใขใฏใปใน
- ๅบๆฌ็ใชใณใณใใฅใผใฟใผในใญใซ
- ใณใผในๅฎไบใธใฎ็ฎ่บซ
ไบๅใฎๆญฃๅผใช่ณๆ ผใฏไธ่ฆใใขใฏใปใทใใชใใฃใฎใใใซ่จญ่จใใใใณใผในใ
ใณใผใน็ถๆณ
ใใฎใณใผในใฏใใญใฃใชใข้็บใฎใใใฎๅฎ็จ็ใช็ฅ่ญใจในใญใซใๆไพใใพใใใใใฏ๏ผ
- ่ชๅฏใใใๆฉ้ขใซใใฃใฆ่ชๅฎใใใฆใใชใ
- ่ชๅฏใใใๆฉ้ขใซใใฃใฆ่ฆๅถใใใฆใใชใ
- ๆญฃๅผใช่ณๆ ผใฎ่ฃๅฎ
ใณใผในใๆญฃๅธธใซๅฎไบใใใจใไฟฎไบ่จผๆๆธใๅใๅใใพใใ
ใชใไบบใ ใใญใฃใชใขใฎใใใซ็งใใกใ้ธใถใฎใ
ใฌใใฅใผใ่ชญใฟ่พผใฟไธญ...
ใใใใ่ณชๅ
ใณใผในๆ้
- ้ฑ3-4ๆ้
- ๆฉๆ่จผๆๆธ้ ้
- ใชใผใใณ็ป้ฒ - ใใคใงใ้ๅง
- ้ฑ2-3ๆ้
- ้ๅธธใฎ่จผๆๆธ้ ้
- ใชใผใใณ็ป้ฒ - ใใคใงใ้ๅง
- ใใซใณใผในใขใฏใปใน
- ใใธใฟใซ่จผๆๆธ
- ใณใผในๆๆ
ใณใผในๆ ๅ ฑใๅๅพ
ไผ็คพใจใใฆๆฏๆใ
ใใฎใณใผในใฎๆฏๆใใฎใใใซไผ็คพ็จใฎ่ซๆฑๆธใใชใฏใจในใใใฆใใ ใใใ
่ซๆฑๆธใงๆฏๆใใญใฃใชใข่จผๆๆธใๅๅพ
