Analytics and Data Management

Data Science Certification Training

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

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

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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

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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

Entroll Now

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 Skill Rise 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

  • 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

  • In this Module, you should learn about different statistical techniques and terminologies used in data analysis.

  • What is Statistical Inference?

  • Information Security Program Basics

  • Terminologies of Statistics

  • Measures of Centers

  • Measures of Spread

  • Probability

  • Normal Distribution

  • Binary Distribution

  • Data Analysis Pipeline

  • What is Data Extraction

  • Types of Data

  • Raw and Processed Data

  • Data Wrangling

  • Exploratory Data Analysis

  • Visualization of Data

  • What is Machine Learning?

  • Machine Learning Use-Cases

  • Machine Learning Process Flow

  • Machine Learning Categories

  • Supervised Learning

  • Linear Regression

  • Logistic Regression

  • 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

  • What is Clustering & its Use Cases?

  • What is K-means Clustering?

  • What is C-means Clustering?

  • What is Canopy Clustering?

  • What is Hierarchical Clustering?

  • 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

  • The concepts of text-mining

  • Use cases

  • Text Mining Algorithms

  • Quantifying text

  • TF-IDF

  • Beyond TF-IDF

  • 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

  • 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