Data Science Certification Training

In-Person Classroom

Unfortunately, this training model is not available for this certification

3-days of guaranteed to run in-person training
Access to CP’s study guide designed by industry experts
Exam passing tips and tricks to assist in the exam
2 practice tests to gauge your learning post-training
Application assistance and support by certified staff

~~$ 2499~~

$ 2299

Show Batches

Live Online Classroom

An online training model with the virtual presence of an instructor

3-days of assured instructor-led online live training
Access to CP’s study guide designed by industry experts
24 PDUs certificate on completion of the training
100% exam pass guarantee in the 1st attempt
Recorded lesson video for post-training learning

~~$ 2299~~

$ 1999

Show Batches

Online Self-Study

Study at your own pace with the self-study model of learning

180 days of complete access to the complete course
Access to CP’s study guide designed by industry experts
24 PDUs certificate on completion of the training
100% exam pass guarantee in the 1st attempt
Application assistance and support by certified staff

~~$ 1299~~

$ 899

Data Science Certification Training

Our courses taught by certified experts demonstrates how professionals like you can better visualize critical information, discover new patterns, trends, integrate data from different sources and optimize data models to successfully navigate today’s information economy.

Advance your existing skills or create new ones with Upskillscert analytics & data management course. We offer a communicative portfolio of Analytics & Data management training covering a variety of topics from business intelligence to data integration and governance.

Course Overview

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits and network to gain insight into their data.

Data Science Training with Python will enable you to learn Data science concepts from scratch. This course will also help you to master important Python programming concepts such data operations etc.

Course Agenda

1. Introduction to Data Science

Get an introduction to Data Science in this Module and see how Data Science helps to analyze large and unstructured data with different tools.
What is Data Science?
What does Data Science involve?
Era of Data Science
Business Intelligence vs Data Science
Life cycle of Data Science
Tools of Data Science
Introduction to Big Data and Hadoop
Introduction to R
Introduction to Spark
Introduction to Machine Learning

2. Statistical Inference

In this Module, you should learn about different statistical techniques and terminologies used in data analysis.
What is Statistical Inference?
Terminologies of Statistics
Measures of Centers
Measures of Spread
Probability
Normal Distribution
Binary Distribution

3. Data Extraction, Wrangling and Exploration

Data Analysis Pipeline
What is Data Extraction
Types of Data
Raw and Processed Data
Data Wrangling
Exploratory Data Analysis
Visualization of Data

4. Introduction to Machine Learning

What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Supervised Learning
Linear Regression
Logistic Regression

5. Classification

What is Classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?
What is Navies Bayes?
Support Vector Machine: Classification

6. Unsupervised Learning

What is Clustering & its Use Cases?
What is K-means Clustering?
What is C-means Clustering?
What is Canopy Clustering?
What is Hierarchical Clustering?

7. Recommender Engines

What is Association Rules & its use cases?
What is Recommendation Engine & it’s working?
Types of Recommendation Types
User-Based Recommendation
Item-Based Recommendation
Difference: User-Based and Item-Based Recommendation
Recommendation Use-case

8. Text Mining

The concepts of text-mining
Use cases
Text Mining Algorithms
Quantifying text
TF-IDF
Beyond TF-IDF

9. Time Series

What is Time Series data?
Time Series variables
Different components of Time Series data
Visualize the data to identify Time Series Components
Implement ARIMA model for forecasting
Exponential smoothing models
Identifying different time series scenario based on which different Exponential Smoothing model can be applied
Implement respective ETS model for forecasting

10. Deep Learning

Reinforced Learning
Reinforcement learning Process Flow
Reinforced Learning Use cases
Deep Learning
Biological Neural Networks
Understand Artificial Neural Networks
Building an Artificial Neural Network
How ANN works
Important Terminologies of ANN’s

Fill Up The Details

Fill Up The Details To Get Quotation

Data Science Certification Training

Learn to apply data science methods & techniques, and acquire analysis skills.

In-Person Classroom Batches For Data Science Certification Training

Batches Available

Live Online Classroom Batches For Data Science Certification Training

Batches Available