Certified Data Science Practitioner™ (CDSP) Certification

24 hours of extensive training

8 revised course modules on industry practices

Master data analysis techniques and tools

Convenient payment options with instalments

Schedule your sessions on weekdays or weekends

4.8/5

4256 Enrolled

Overview

What we’re going to teach you:

Understand predictive modelling processes
CDSP Course helps to gain proficiency in data visualisation
Explore big data technologies and applications
Develop skills in Python for data science
Apply statistical methods to real-world data
Implement data cleaning and preprocessing strategies
Know about data ethics and governance principles

Learning objectives

Upon finishing the training, you will master:

Understand and use data science principles to successfully address business challenges

Know how to use the extract, transform, and load (ETL) method to prepare data

Discover how to analyse data and derive relevant insights using various methodologies

Create machine learning techniques for specific business concerns

Comprehend how to train, fine-tune, and assess classification models so that they can make correct predictions

Remember how to train, fine-tune, and evaluate clustering algorithms to detect patterns and segmentation in data

Ready to get started?

Prerequisites

Some criteria you need to fulfil before starting this course:

To ensure your success in the CDSP Course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
You should also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and Pandas is highly recommended. You can obtain this level of skills and knowledge by taking the Logical Operations course Using Data Science Tools in Python.
In addition to programming, you should also have experience working with databases, including querying languages like SQL. Several Logical Operations courses can help you attain this experience: - Database Design: A Modern Approach - SQL Querying: Fundamentals (Second Edition) - SQL Querying: Advanced (Second Edition)

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Upcoming sessions

Our Trainers

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Our Trainers

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Curriculum

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.

You should also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and Pandas is highly recommended. You can obtain this level of skills and knowledge by taking the Logical Operations course Using Data Science Tools in Python.

In addition to programming, you should also have experience working with databases, including querying languages like SQL. Several Logical Operations courses can help you attain this experience:

Database Design: A Modern Approach
SQL Querying: Fundamentals (Second Edition)
SQL Querying: Advanced (Second Edition)

Topic A: Initiate a Data Science Project
Topic B: Formulate a Data Science Problem

Topic A: Extract Data
Topic B: Transform Data
Topic C: Load Data

Topic A: Examine the Data
Topic B: Explore the Underlying Distribution of
Data
Topic C: Use Visualizations to Analyze Data
Topic D: Preprocess Data

Topic A: Identify Machine Learning Concepts
Topic B: Test a Hypothesis

Topic A: Train and Tune Classification Models
Topic B: Evaluate Classification Models

Topic A: Train and Tune Regression Models
Topic B: Evaluate Regression Models

Topic A: Train and Tune Clustering Models
Topic B: Evaluate Clustering Models

Topic A: Communicate Results to Stakeholders
Topic B: Demonstrate Models in a Web App
Topic C: Implement and Test Production Pipelines

Frequently asked questions

The Certified Data Science Practitioner (CDSP) Course is a globally renowned credential that provides individuals with the skills and abilities to analyze, interpret and utilise data. It benefits individuals who wish to build their careers in the data science sector. Some of these benefits are:

1. Develop expertise in core data science concepts
2. Gain hands-on experience with tools like Python, R and SQL
3. Understand ethical practices in data collection
4. Learn to create impactful visualizations
5. Acquire knowledge in machine learning

The CDSP Course is suitable for professionals seeking to develop their skills in data analysis, machine learning and data-driven decision-making. It is ideal for aspiring data scientists, data analysts, business intelligence professionals, and anyone interested in utilising data for business insights and growth.

The CDSP Certification covers various topics related to data analysis and visualisation. These topics are discussed and covered by our expert instructors using hands-on sessions and case studies. Some of these topics are:

1. Introduction to Data Science and its Applications
2. Data collection, cleaning and pre-processing techniques
3. Exploratory data analysis (EDA)
4. Data visualization principles
5. Introduction to statistical analysis
6. Working with programming languages like Python, R, and SQL
7. Machine learning algorithms
8. Predictive modeling and advanced analytics techniques

There is a significant demand for professionals with Certified Data Science Practitioner Certification in the global job market. With the increasing reliance on data-driven decision-making, businesses across various industries seek skilled data science practitioners to extract insights, drive innovation, and gain a competitive edge.

Our Certified Data Science Practitioner (CDSP) Certification enhances your profile by providing in-demand data analysis, machine learning, and problem-solving skills. It validates your expertise and demonstrates your ability to utilise data effectively, making you a valuable asset in the data-driven business world.

Attending the CDSP Certification Course is essential for individuals to gain the knowledge required to excel in the data-driven business landscape. It provides individuals with expertise in data analysis, machine learning, and data visualisation, helping them to contribute effectively to organisational success.