Learn the most important Data Science libraries in this step by step course.
1.Basic Notebook commands
2.Variables and conversions in Python
3.Variables, lists, dictionaries, sets, classes in Python
4.Definition of a function
6.Reading and writing files
7.Mathematical functions in Numpy
8.Functions to create random data
10.Pivot tables in Pandas
12.RAM memory optimization for large amounts of data 14.
13.Through this training we are going to learn how to use Python to create fascinating data visualizations.
14.Learn Data Visualization, Development Setup and Language Learning Bridge between Python and JS
15.Learn Reading and Writing Data with Python, Webdev 101 and Getting Data off the Web with Python
16.Learn Heavyweight Scraping with Scrapy, Plotting and Visualization, and Data Aggregations and Group operations 17.Learn Financial and Economic Data Application
18.Build a recommendation engine
1. Highly Reduced Time Requirements
2. Reduced Cost Requirements
3. Eligibility Across Various Domains And Industries
4.High demand for analytics professionals
1. Data Engineer
2. Data Scientist
3. Data Analyst
4. Analytics Manager
5. Business analyst
6. Data Architect
The average salary (Source) for a Data Science Engineer in India is Rs 699,928.
A dynamic and self - motivated Trainer and System Administrator. Aspiring for a Bright and challenging career in the field of Training and Networking Technology, which could enable me to upgrade myself with emerging trends and technologies to benefits of the professional growth and accomplishment of organizational goals.