Login Signup

info@zetlantechnologies.com +91-8680961847

/ CertNexus Certification / DSBIZ Certification

DSBIZ

DSBIZ offers business professionals with the necessary knowledge to help make decisions and drive organizational data strategies by understanding data fundamentals, implementation tactics, and potential effects of data-driven solutions.

DSBIZ

DSBIZ offers business professionals with the necessary knowledge to help make decisions and drive organizational data strategies by understanding data fundamentals, implementation tactics, and potential effects of data-driven solutions.

DSBIZ Jobs

DSBIZ is intended for business leaders and stakeholders, product and project managers, and all else who are interested in growing the business by leveraging the power of data.

DSBIZ Exam Details

This exam will certify that the candidate will have an understanding of what data science is, how it relates to and can benefit business functions, identify potential risks, and demonstrate an understanding of the challenges and milestones of implementing data science and becoming a data-driven organization.

TARGET CANDIDATE

This course is primarily designed for managers, business leaders, and other decision makers who are interested in growing the business by leveraging the power of Data Science. Other individuals who wish to explore basic Data Science concepts are also candidates for this course.

EXAM CODES

DSZ-210

LAUNCH DATE

October 2023

SUNSET DATE

TBD

EXAM DURATION

20-45 minutes (on average)

PASSING SCORE

20 out of 25 (80%)

NUMBER OF ITEMS

25

ITEM FORMATS

Multiple Choice/Multiple Response/True-False

EXAM OPTIONS

Online via the CHOICE LMS

DSBIZ breaks down the fundamentals of data so anyone can participate in data-driven solutions.

MAKE YOUR DATA EXCEL

Successful companies make their data work for them. DSBIZ helps organizations ask the questions that translates data into insights.

KNOW YOUR DATA

Too many organizations don’t realize the full value of their data because they don’t understand their data.”

Data Science for Business Professionals Training

To be an effective data team member, you require fundamental knowledge to drive results. CertNexus IoTBIZ training covers foundational terminology, technical concepts, and business use cases so you can actively participate or lead your next data project.

Course Details

1. Understand Data Science Fundamentals

Define data science terms and concepts.

Data science
Data analytics
Descriptive analytics

Business intelligence
Data mining
Data visualization

Storytelling with data
Summary statistics

Predictive analytics

Root cause modelling and analysis
Forecasting
Pattern identification

Prescriptive analytics

Simulation
Optimization

Diagnostic analytics

Root cause analysis
Identification of technical issues

Statistical analysis

Sampling techniques
Distribution of data
Central tendency
Dispersion
Conditional probability
Computational statistical interference
Linear models
Bayesian models

Artificial intelligence

Algorithms
Generative AI

Machine Learning

Deep learning

Programming tools

Python
R
SQL
NumPy and Pandas
Open source

APIs
Web scraping
Velocity of data
Data types

Structured
Unstructured

Big data

Describe the data science lifecycle.

Discovery

Data acquisition
Sourcing

Data preparation

Exploration
Profiling
Pre-processing
Cleansing

Model planning
Model building

Running
Testing
Revising

Model implementation
Communication of results

2. Identify Business Uses for Data Science

Improve customer experience (CX).

Personalized customer experience

Sentiment analysis
Recommender systems

Self-service support

Chatbots
Virtual assistants

Improve marketing efforts.

Audience segmentation
Targeted advertising
Campaign optimization
Measurement analysis

Optimize organizational and transactional security.

Fraud detection
Minimize loan defaults
Reduce intellectual property theft
Identify and mitigate risks
Cybersecurity

Enhance operational practices.

Predict system or component failure
Optimize sales forecasting
Implement dynamic pricing
Identify reasons for customer churn
Optimize talent acquisition
Optimize transportation and logistics

3. Implement Business Requirements for Data Science

Develop a data-centric organization.

Prepare organizations for data science implementation

Define potential contribution of data science for the organization
Alignment of data science with corporate strategy
Alignment of data science with organizational resources
Alignment of data science with organizational culture

Design thinking
Critical thinking/objectivity
Accurately communicating results
Business acumen/data-driven decisions
Learning organization/professional development and upskilling

Prepare teams for data science implementation

Talent acquisition
Training
Combination of roles

Develop an implementation strategy.

Identify business case for using data science
Identify organizational investments to be made to implement data science projects
Identify factors related to data discovery

Collection of relevant data
Methods of collecting relevant data
Tools for generating data
Methods for storing data
Tools for storing data
Appending data

Identify factors related to data preparation

Data wrangling/munging
Cleaning data
Tools for preparing data
Analyzing data
Tools for data analysis

Identify factors related to modeling

ETL process
Model types
Model testing
Model revision
Evaluation of model results
Model implementation

Identify factors related to communicating model results

Document key findings
Create visual representation of insights
Develop reports and other assets for stakeholders

Identify factors related to data visualization

Audience
Charts
Tables
Tools for data visualization

4. Identify Data Science Risks

Describe the impact of data science on business.

Impact on overall business operations

Reputational impact
Talent gaps (expertise, training, and experience)
Legal and regulatory violations

Impact on business processes

Cost
Infrastructure requirements
Employee impact
Organizational changes

Data issues

Data security (breach and theft)
Low-quality data
Data privacy violations
Lack of data controls

AI-related risks

Lack of formal governance for AI
Acquisition of third-party data and AI products
Lack of domain expertise in pre-production reviews
Use of black-box models and technologies

Identify governance measures.

Ethical considerations

Privacy
Accountability
Transparency and explainability
Fairness and non-discrimination (bias)
Safety and security

Legal and regulatory considerations, frameworks, and guidelines

EU GDPR
PCI DSS
OECD Privacy Guidelines
APEC Cross-Border Privacy Rules (CBPR)
Jurisdictional issues

US federal and state-level privacy legislation
EU legislation, frameworks, and regulations
Data privacy legislation in other countries
AI legislation

Video Packages
Online Live Class

Fees Structure :	22500 INR / 270 USD
Total No of Class :	120 Video Class
Class Duration :	65 Working Hours
Download Feature :	Download Avalable
Technical Support :	Call / Whatsapp : +91 8680961847
Working Hours :	Monday to Firday 9 AM to 6 PM
Payment Mode :	Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

Brochure Buy Now Sample Demo

Fees Structure :	30500 INR / 365 USD
Class Duration :	60 Days
Class Recording :	Live Class Recording available
Class Time :	Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support :	Call / Whatsapp : +91 8680961847
Working Hours :	Monday to Firday 9 AM to 6 PM
Payment Mode :	Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

Download Brochure Pay Online

Information Technologies

More Info

About Us Contact Us Privacy Policy Terms & Condition Refund Policy FAQs & Help

Account

My Account Course Details Shopping Cart Wishlist Order History Payment Details

Zetlan Technologies, All right reserved.