- Instructor: skillcircle
- Lectures: 26
- Quizzes: 3
- Duration: 16 weeks
Stay tuned with the in-demand data science technologies at the Best Data Science Institute in India.
Data Science is a blend of multiple disciplines viz. Data Analytics, Statistics and Machine Learning which aims to draw insights and make predictions from the raw data. Data Science has assisted numerous organizations in making informed decisions that are critical to the sustenance and growth of any business. SkillCircle’s Data Science online course aims to make students adept in this field under the mentorship of its highly experienced team of industry professionals.
With Data Science online course being SkillCircle’s forte, it aims to render deep understanding of five stages of Data Science life cycle comprising the following:
1.To Capture Data which includes data acquisition, data entry, data extraction, signal reception.
2.To Maintain Data which includes Data warehousing, data cleansing, data architecture, data staging, data processing,
3.To Process Data which includes Data mining, classification/clustering, data modeling, data summarization
4.To Communicate which includes data visualization, Data reporting, business intelligence and decision making
5.To Analyze Data which includes confirmatory/Exploratory, predictive analysis, text mining, regression, qualitative analysis .
Why Choose Data Science Online Course?
- Growing demand for Data Science professionals.
- Data Science has a wide application across various industries.
- High paying jobs.
- It plays a key role of valued addition for any business.
- Due to Skill Gap it is easy to grab a job in Data Science field.
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Overview
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Lecture 1.1Introduction to Data Science with Python ( Induction)
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Lecture 1.2Python Core
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Lecture 1.3String Objects and Collection
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Lecture 1.4Tuples, Set, Dictionaries & Functions
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Lecture 1.5OOPS concepts & Working with Files
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Lecture 1.6Database
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Basics
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Lecture 2.1Python Pandas
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Lecture 2.2Data Manipulation : Cleansing – Munging
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Lecture 2.3Data Analysis : Visualization Using Python
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Lecture 2.4Introduction To Statistics
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Lecture 2.5Introduction To Predictive Modeling30m
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Lecture 2.6Data Exploration For Modeling
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Quiz 2.1Function Exercises – Part 1010m
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Quiz 2.2Model Forms Exercise – Part 1010m
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Advanced
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Lecture 3.1Data Preparation17m
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Lecture 3.2Machine learning -118m
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Lecture 3.3Machine – Learning – 213m
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Lecture 3.4Machine Learning -3
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Lecture 3.5Machine Learning-4
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Lecture 3.6Natural Language Processing
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Quiz 3.1Templating Engine – Part 1010m
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Conclusion
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Lecture 4.1Time Series Forecasting : Solving Forecasting Problems45m
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Lecture 4.2Deep Learning
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Lecture 4.3Model Deployment
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Lecture 4.4Tableau
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Lecture 4.5Projects
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Certificate
Certification
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Lecture 5.1Skill Circle Certificate
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Lecture 5.2Python for Data Science
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Lecture 5.3Analytics & Data Specialist
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