Search result for Courses taught by Start-Tech Academy
- Data Science is a field that involves the extraction, analysis, and interpretation of data to make informed decisions. It combines statistical analysis, machine learning, and domain expertise to derive insights from data.
- Data Science courses typically cover topics such as data wrangling, data visualization, statistical analysis, machine learning, and predictive modeling. Students learn how to use various tools and programming languages such as Python, R, SQL, and Tableau to work with data. They also learn how to communicate and present their findings to various stakeholders.
- Typical students in Data Science courses include individuals with a background in mathematics, statistics, computer science, or other related fields. They may be seeking to enhance their current skill set or transition into a career in Data Science.
Complete Linear Regression Analysis in Python
by Start-Tech Academy- 4.1
Logistic Regression in Python
by Start-Tech Academy- 4.1
Convolutional Neural Networks in Python: CNN Computer Vision
by Start-Tech Academy- 4.4
Time Series Analysis and Forecasting using Python
by Start-Tech Academy- 4.1
Artificial Neural Networks (ANN) with Keras in Python and R
by Start-Tech Academy- 4.2
Linear Regression and Logistic Regression using R Studio
by Start-Tech Academy- 4
Linear Regression and Logistic Regression in Python
by Start-Tech Academy- 4.1
Image Recognition for Beginners using CNN in R Studio
by Start-Tech Academy- 4.3
Logistic Regression in R Studio
by Start-Tech Academy- 4.4
Top Online Courses and Specializations | Coursera
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Coursera | Online Courses & Credentials From Top Educators. Join for Free
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- It typically takes several months to get the fundamentals of Data Science, which includes understanding programming languages, statistical analysis, and machine learning algorithms. Becoming well adept in this topic can take several years of practice and experience working with data in various domains.
Data Science courses build upon the foundation of statistics, mathematics, and computer science. They provide students with the skills needed to work with data and derive insights.
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Data Science is used in various fields such as healthcare, finance, marketing, and social media. In healthcare, it is used for patient diagnosis and treatment. In finance, it is used for risk management and fraud detection. In marketing, it is used for customer segmentation and targeted advertising. In social media, it is used for sentiment analysis and user behavior prediction. Data Science is a versatile field that can be applied in almost any domain that deals with data.
- Related Fields
Data Science skills are in high demand in various industries such as healthcare, finance, marketing, and technology. They are needed for roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, and Machine Learning Engineer.
- Examples of Common Careers
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- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Engineer