Program Overview
CLDS™ is the most effective cross-platform certification program for data science professionals looking for more challenging and impactful data scientists and data architect roles. CLDS™ professionals can develop world-class data science designs and applications and manage any end-to-end project. You'll demonstrate your best talent, ability, and potential for handling a data scientist's complex tasks. Data science helps you understand big data, get insights quickly and make predictions based on the data effectively. It can also be applied to many different domains, and the CLDS™ credential is the most assured route for a Data Scientist Role.
The program is focused on the advanced fundamentals of data science and the topics like Data Analytics, Machine Learning, Deep Learning, NLP, Text Analytics and more.
Programming skills are not mandatory to apply for CLDS™ certification.
PROGRAM FEE
- CLDS™ covers all the latest topics through Study books, eLearning materials with workshops, and hands-on videos with Practice Code
- Self-paced training module
- 8-10 hours/week
- Program fee also includes the Examination fee
$781$702
(*ALL-INCLUSIVE)
What You Will Learn
- Data Science: Overview
- Create Value from Data
- Understanding Data Analysis
- Python and Jupyter for Data Analysis
- R for Data Science
- Big Data Overview
- Importance of Big Data
- Big Data Essentials
- A Competent Data Science Team
- Build and manage your technology stack
- Data Analysis Lifecycle
- Data Analysis Workflow
- Deep dive into Data Ingestion
- Exploring and Visualizing Data
- Statistics and Hypothesis Testing
- Clustering using K-means
- Working with Association Rules
- Effective Regression Techniques
- Naive Bayesian Classifiers
- K-Nearest Neighbors
- Support Vector Machines (SVM)
- Key Ensemble Strategies
- Decision Trees
- Time-series Analysis
- Text Analytics and NLP
- Gathering and Loading Data into DataFrames
- Performing Key Operations on Data
- Joins, Relationships, and Aggregates
- Importing and Exporting Data in SQL
- Working with NoSQL Databases
- The Hadoop Ecosystem
- Data Lifecycle Stages in Hadoop
- Hadoop - Key Data Architecture Principles and Practices
- Modeling Data in Hadoop
- SQL for Analytics
- SQL for Data Preparation
- Aggregate and Window Functions for Data Analysis
- Understanding Elastic Stack
- Big Data with Spark
- Sentiment Analysis
- Machine Learning overview
- Understanding Artificial Intelligence
- Machine Learning in-detail
- Graph Algorithms
- Deep Learning Concepts
- Business Intelligence and Power BI
- Implementing Power BI Desktop
- Financial Portfolio Analysis App
- Data Analysis of Domestic Flights
- Image Recognition Application
- All About Containerization
- IoT and Data Science
- Understanding RPA
- Cloud Strategy for Data Analytics
Program Benefits
Futuristic Program Content, vetted by 30+ global SMEs
Self-paced Program format and Instructor-led Training
150+ hours of learning
Program duration of 4 – 25 weeks only, with just 8-10 hours/week of learning
Global recognition with cross-platform Data Science certification
Exponential Salary hike
10x Knowledge boost in Data Science
AI-proctored exam – anytime, anywhere
World-class digital badge with lifetime validity
Who Should Apply?
Directors / Senior Managers / Consultants
Project Managers, Delivery Managers, Project Head, Functional Directors, Consultants and any senior professional with an interest in Data Science.
Engineers / Team Leads / Marketers
Software Engineers/Developers, Data Analysts, Business Analysts, Team Leads, Marketing Professionals, Sales Managers, and any professional with an interest in a beginner-level Data Science program.
Undergrads/Graduates
Other graduate students or professionals with a background in college-level mathematics including differential calculus, linear algebra, and statistics.
Testimonials
Aileen Gutierrez
Data Insights Analyst, InMarket
“By applying to take the CLDS certificate, I was able to learn so much about Big Data Analytics, Machine Learning, Data Science methods, etc. Through access to books and online courses, I am confident I can continue to build my skills and knowledge. After the examination, I have a better idea of the areas I need to improve and still have access to the learning materials.”
Maria Cage
Machine Learning Engineer, IBM
“As a certified professional in Data Science by USDSI®, my superiors have shown more confidence and have given me a better opportunity to lead machine learning and Artificial Intelligence project. I have also been promoted after CLDS™ certification, couldn’t guess that earlier.”
Chintamani Modak
Senior Manager – Pricing & Analytics, Dell Technologies
“The CLDS™ program is based on in-depth research in the industry, and the futuristic trends were acknowledged while designing the program for emerging data scientists. USDSI’s high-quality study kit really benefited me immensely in successfully securing CLDS™ certification. USDSI staff was very supportive and responded to all my queries on prompt basis.”
