Data science with python- LIVE VIRTUAL
Course
Online
Acquire programming knowledge with this course!
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Type
Course
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Level
Intermediate
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Methodology
Online
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Class hours
40h
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Duration
Flexible
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Start date
Different dates available
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Online campus
Yes
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Delivery of study materials
Yes
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Support service
Yes
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Virtual classes
Yes
Rapid technological advances in Data Science have been reshaping global businesses and putting performances on overdrive. As yet, companies are able to capture only a fraction of the potential locked in data, and data scientists who are able to reimagine business models by working with Python are in great demand.
Facilities
Location
Start date
Start date
About this course
1. Tools & Technologies
2. Statistics for Data Science
3. Python for Data Science
4. Exploratory Data Analysis
5. Data Visualization using Python
6. Advanced Statistics & Predictive Modeling
1. Those interested in the field of data science
2.Those looking for a more robust, structured python learning program
3. Those wanting to use python for effective analysis of lage data sets
4.software or data engineers interested in quantitative analysis with python
5. Data Analysts, Economists or Researchers
There are no prerequisites to attend this course, but elementary programming knowledge will come in handy.
An Expert from Knowledgehut will take it forward.
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Statistics
- Project
- Probability
- Python
- Data science
- Descriptive Statistics
- Technologies
- Central tendency
- Analyze data
- Bayes Theorem
Course programme
- Analytics Landscape
- Life Cycle of a Data Science Project
- Data Science Tools & Technologies
- Data Structures in Python
- Control & Loop Statements in Python
- Functions & Classes in Python
- Working with Data
- Analyze Data using Pandas
- Visualize Data
- Case Study
- Measures of Dispersion
- Descriptive Statistics
- Probability Basics
- Marginal Probability
- Bayes Theorem
- Probability Distributions
- Hypothesis Testing
- Linear Regression (OLS)
- Case Study: Linear Regression
- Principal Component Analysis
- Factor Analysis
- Case Study: PCA/FA
- Case Study: Logistic Regression
- K-Nearest Neighbor Algorithm
- Case Study: K-Nearest Neighbor Algorithm
- Decision Tree
- Case Study: Decision Tree
- Visualizing Time Series Components
- Exponential Smoothing
- Holt's Model
- Holt-Winter's Model
- ARIMA
- Case Study: Time Series Modeling on Stock Price
Data science with python- LIVE VIRTUAL