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
4.8/54.8/5Overview
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
Upcoming sessions
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
Meet your Trainer
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.
Meet your Trainer
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 and ethics.
Learning Outcomes
Upon finishing the training, you will master:
1
Understand and use data science principles to successfully address business challenges
2
Know how to use the extract, transform, and load (ETL) method to prepare data
3
Discover how to analyse data and derive relevant insights using various methodologies
4
Create machine learning techniques for specific business concerns
5
Comprehend how to train, fine-tune, and assess classification models so that they can make correct predictions
6
Remember how to train, fine-tune, and evaluate clustering algorithms to detect patterns and segmentation in data
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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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.
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