As businesses increasingly rely on latest technology to solve business problems, data professionals today need exceptional quantitative skills and a high-level understanding of the models that are employed to solve challenges.
WHAT YOU WILL LEARN
Course Overview
In this course, you will learn the importance of collecting, organizing and manipulating large amounts of data using the latest technologies. With this course, you will have complete understanding of working with data and analytics, and a hands-on knowledge of Python, such as Accessing Data from different services, processing data, data visualization, working with text data and managing time series data.
COURSE MODULES
Accessing Data
Accessing Data from Files
Accessing Data from Relational Databases
Accessing Data from Web pages
Accessing Data from Web services
Processing Data
Python Libraries for Managing Data
Introduction to NumPy
Introduction to Pandas
Data formats
Flattened Data
Hierarchical Data - JSON, XML
Binary Data
Cleaning and Transforming Data
Data Aggregation
Data Sorting and Filtering
Finding and Fixing invalid values and removing duplicates
Transforming values - Functions and Maps
Combining and Merging Data
Reshaping data
Data Visualization
Charts
Graphs
Distributions
Trends
Geo-Data
Specialized visualization - word clouds
Working with Text Data - Natural Language Processing
Structure and Representation in Text
Models for textual data - Bag of Words, N-grams
Managing language structure - stemming, lemmatization, stopwords
Our trainers are not academicians, but they are the people with 10+ years of experience in their domain. Our trainers have worked in various roles in Fortune 500 companies and have successfully handled many projects and led teams. They also hel... Read More