Course Introduction
- As businesses increasingly rely on the 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.
Course Format
- Online Classroom
- Practical Training
Duration Course
- 40 Hours
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 a complete understanding of working with data and analytics and a hands-on knowledge of Python, such as accessing data from different services, processing data, creating data visualization, working with text data, and managing time series data.
Course Modules
Step 1. Accessing data
Step 2. Processing Data
Step 3. Data Visualization
Step 4. Working With Text Data - Natural Language Processing
Step 5. Managing Time Series Data
Step 1. Accessing data
Accessing data
- Accessing data from files
- Accessing data from
- Relational databases
- Accessing data from web pages
- Accessing data from web services
Step 2. Processing Data
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
Step 3. Data Visualization
Data Visualization
- Charts
- Graphs
- Distributions
- Trends
- GEO-data
- Specialized visualization – word clouds
Step 4. Working With Text Data - Natural Language Processing
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, stop words
- Application: sentiment analysis
Step 5. Managing Time Series Data
Managing Time Series Data
Managing Dates And Times In Python
- Dates
- Times and time zones
Data Analytics, Business Intelligence & Data Visualization
BI USING
POWER BI
₹
11999
30 Hours
-
Business Intelligence Concepts
-
Power BI Desktop - An Introduction
-
Data Modelling in Power BI
-
Relational Functions
DATA ANALYTICS USING
PYTHON
₹
11999
30 Hours
-
Accessing Data
-
Processing Data
-
Cleaning and Transforming Data
-
Natural Language Processing
VISUAL ANALYTICS USING TABLEAU
₹
11999
30 Hours
-
Getting Started with Tableau
-
Adding Data Sources in Tableau
-
Adding Data Sources in Tableau
-
Interactive Dashboards
Our Placed Students
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