Know more about Advanced Data Science Certification
Advanced Data Science Certification is an attestation providing in-depth knowledge of advanced topics, and statistical modeling, machine learning, and data visualization techniques in detail. It equips individuals with the caliber to implement various modeling data in Power BI data models. Advanced Data Science Certification in Malatya Turkey sheds light on data analysis using Python. It provides an overview for individuals about installing pandas and its operation. Therefore, having this certification can help a professional clear the ambiguities of different phases of the data analytics life cycle. Definitely, the attestation of Advanced Data Science can impact crucially on the professional life of an individual, as it is a globally admired validation of knowledge in Advanced Data Science.
A Guide on Advanced Data Science Exam
Advanced Data Science Exam in Malatya is purposeful in analyzing the profoundness a professional has on tackling challenges of complex data sets. It is compulsory to take Data Science Exam after the course completion. Course provides all relevant knowledge on the topics related to Advanced-level Data Science, which helps the aspirant crack the exam with less effort. The exam is conducted for 120 minutes. There will be twenty questions that candidates must answer, which are objective types of questions. Exam is course-related, and candidates must have a thorough consciousness of all predominant topics, of course.
Understand more about Advanced Data Science Training
Advanced Data Science Training in Malatya provides a thorough knowledge of advanced data science, enhancing expertise in individuals. Data Science Program adopts personalized teaching methodologies to improve Data Science learning. This enables candidates to attain extensive knowledge of machine learning and big data analytics. Furthermore, Data Science Certification Course provides knowledge on deep learning, its importance and working. It pertains to data manipulation in R and regression analysis. Moreover, training helps aspirants with advanced consciousness in modeling data and creating relationships. Additionally, online and offline sessions bestow detailed information on multiple visualizations and creating charts.
Corporate Group Training
- Customized Training
- Live Instructor-led
- Onsite/Online
- Flexible Dates
| Advanced Data Science Exam Details in Malatya | |
| Exam Name | Advanced Data Science Certification |
| Exam Format | Multiple choice |
| Total Questions | 20 Questions |
| Passing Score | 70% |
| Exam Duration | 2 hours |
Key Features of Advanced Data Science Certification Training in Malatya Turkey
Unichrone is offering reliable and well-organized training on Advanced Data Science. We assist candidates with online and in-classroom training sessions in Malatya. In addition, there will be group training for aspirants, which accelerates their learning. Moreover, we cater industry-oriented course materials and mock quizzes that provide persistent practice and learning for professionals on Data Science topics on an advanced level. Course helps the candidates to improve their knowledge in machine learning mathematics and NLP applications. Moreover, Advanced Data Science Certification offered by Unichrone is intended to provide awareness to the aspirant about ethical considerations in data science and its real-time applications. It enhances the skills in Python for data analysis and visualization with utmost importance. Our course instructors are well averse to the vital needs of industry. We support our learners till the end of their course. More than that, we provide extensive networking opportunities for aspirants to accomplish a competitive edge in the industry. There will be a thorough support in the career advancement of professionals after the course completion.
- 4 Day Interactive Instructor –led Online Classroom or Group Training in Malatya Turkey
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert trainers with vast industrial experience
- Enrich with Industry best practices and case studies and present trends
- Advanced Data Science Training Course adhered with International Standards
- End-to-end support via phone, mail, and chat
- Convenient Weekday/Weekend Advanced Data Science Training Course schedule in Malatya Turkey
Advanced Data Science Certification Benefits
Higher Salary
With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field
Individual accomplishments
Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification
Gain credibility
Owning the certification makes it easier to earn the trust and respect of professionals working in the same field
Rigorous study plan
The course content is prescribed as per the exam requirements, covering the necessary topics to ace the exam in the first attempt
Diverse job roles
Attaining the certification enhances the spirit of individuals to pursue diverse job roles in the organization
Sophisticated skillset
With this certification, individuals acquire refined skills and techniques required to play their part in an organization
Advanced Data Science Training Course Curriculum
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Module 1: Python for Data Analysis - NumPy
Topics
- · Introduction to NumPy
- · NumPy Arrays
- · Aggregations
- · Computation on Arrays: Broadcasting
- · Comparison, Boolean Logic and Masks
- · Fancy Indexing
- · Sorting Arrays
- · NumPy’s Structured Arrays
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Module 2: Python for Data Analysis – Pandas
Topics
- · Installing Pandas
- · Pandas Objects
- · Data Indexing and Selection
- · Operating on Data in Pandas
- · Handling Missing Data
- · Hierarchical Indexing
- ·Concat and Append
- · Merge and Join
- · Aggregations and Grouping
- · Pivot Tables
- · Vectorized String Operations
- · Working with Time Series
- · Eval() and Query()
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Module 3: Python for Data Visualization – Matplotlib
Topics
- · Overview
- · Object-Oriented Interface
- · Two interfaces
- · Simple Line Plots and Scatter Plots
- · Visualizing Errors
- · Contour Plots
- · Histograms, Binnings and Density
- · Customizing Plot Legends
- · Customizing Color Bars
- · Multiple Subplots
- · Text Annotation
- · Three-Dimensional Plotting
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Module 4: Python for Data Visualization – Seaborn
Topics
- · Installing Seaborn and Load Dataset
- · Plot the Distribution
- · Regression Analysis
- · Basic Aesthetic Themes and Styles
- · Distinguish between Scatter Plots, Hexbin Plots and KDE Plots
- · Use Boxplots and Violin Plots
- · Compare the Use Cases of Swarn Plots, Bar Plots Strip Plots, and Categorical Plots
- · Recall Some of the Use Cases and Features of Seaborn
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Module 5: Machine Learning
Topics
- · Introduction
- · Importance
- · Types
- · How Machine Learning Works?
- · Machine Learning Mathematics
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Module 6: Natural Language Processing
Topics
- · Introduction to NLP
- · NLP and Writing Systems
- · Advantages
- · NLP Applications
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Module 7: Deep Learning
Topics
- · Introduction
- · Importance
- · Working
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Module 8: Big Data
Topics
- · Big Data Analytics
- · State of Practice in Analytics
- · Main Roles for New Big Data Ecosystem
- · Phases of Data Analytics Lifecycle
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Module 9: Working with Data in R
Topics
- · Data Manipulation in R
- · Data Clean Up
- · Reading and Exporting Data
- · Importing Data
- · Charts and Graphs
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Module 10: Regression in R
Topics
- · Regression Analysis
- · Linear Regression
- · Logistic Regression
- · Multiple Regression
- · Normal Distribution
- · Binomial Distribution
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Module 11: Modelling Data
Topics
- · What are Relationships?
- · Viewing Relationships
- · Creating Relationships
- · Cardinality
- · Cross Filter Direction
- · What is DAX?
- · Syntax
- · Functions
- · Row Context
- · Calculated Columns
- · Calculated Tables
- · Measures
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Module 12: Shaping and Combining Data using Power BI
Topics
- · Query Editor
- · Shaping Data and Applied Steps
- · Advanced Editor
- · Formatting Data
- · Transforming Data
- · Combining Data
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Module 13: Interactive Data Visualizations
Topics
- · Page Layout and Formatting
- · Multiple Visualization
- · Creating Charts
- · Using Geographic Data
- · Histograms
- · Power BI Admin Portal
- · Service Settings
- · Desktop Settings
- · Dashboard and Report Settings
Training Schedule and Fees
Interactive Live Online Sessions (Instructor-led)
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Public Classroom Training in Malatya Please check availability with our staff before enroling for Classroom
Frequently Asked Questions
Can I join an offline Advanced Data Science Course in Malatya?
Yes, there will be classroom sessions delivered by mentors with high proficiency in Advanced Data Analytics Course with Unichrone.
Why is it important to take an Advanced Data Science Training in Malatya?
Advanced Data Science Training boosts the knowledge of a professional in Python for data analysis and visualization, deep learning, NLP, and more. This proves the credibility of an individual with a foundational awareness of Data Science, and therefore it is admired by employers.
What is the length of an Advanced Data Science Course?
Advanced Data Analytics Training is conducted for four days. Industrial experts train professionals with thorough instructions.
Will Advanced Data Science Training help me to know more about big data analytics?
Yes, big data analytics, state of practice in analytics, main roles for the new big data ecosystem, and phases of data analytics can be learned by enrolling in the Advanced Data Science Course.
What are the predominant topics covered in the Advanced Data Science Course?
Advanced Data Science Course covers all important topics, such as NumPY, Pandas, NLP and writing systems, machine learning regression in R and working with data in R.
Will the Advanced Data Science Training cover interactive data visualizations?
Yes, Advanced Data Science Training pertains to all aspects of data visualization, including desktop settings and service settings.
Will Advanced Data Science Exam contain an objective and descriptive type of questions in Malatya?
No, there will be only objective type of questions for Advanced Data Science Exam. It should be completed within the time frame.
How many questions will be there for the Advanced Data Science Exam in Malatya?>
There will be only 20 questions for Advanced Data Science Exam, and aspirants can easily manage time to complete exam.
Can I open a book for Advanced Data Science Exam?
It will be a closed-book type of examination where candidates should memorize course content. Candidates are not permitted to seek any assistance during the exam.
What will be the duration of Advanced Data Science Exam?
Advanced Data Science Exam will be a two-hour examination. Individuals have to attempt all questions within this time.
Is there any pass percentage for Advanced Data Science Exam?
Yes, the pass percentage to crack the exam is 70%. This pass percentage is a primary requisite to acquire certification.
Can I write Advanced Data Science Exam in a classroom?
Yes, the exam is conducted in offline mode for those who attended in-classroom sessions of training.
What is the difficulty level of an Advanced Data Science Exam?
Exam analyzes the knowledge a person acquired through training sessions. It is not too difficult to crack Advanced Data Science Exam, as the questions are from the course topics.
Is Advanced Data Science Certification worth it?
Yes, Advanced Data Science Certification offered by Unichrone has a lifetime validity, and it helps an individual attain steady career growth and enhanced professional development.
What is Advanced Data Science Certification?
Advanced Data Science Certification is an attestation demonstrating an individual’s knowledge of Data Science at an advanced level. It enables professionals with sound knowledge of techniques to analyze the performance of machine learning models, different types of regressions, and shaping data using power BI.
Does Certification in Advanced Data Science increase the proficiency of a professional in modeling data?
Yes, Advanced Data Science Certification empowers individuals with better awareness of creating relationships, cardinality, syntax, calculated columns and tables, and DAX.
Is Advanced Data Science Course a certification course?
Yes, Advanced Data Science Course is a certification course, and a certificate can be procured when candidate finishes course.
When should I expect to get an Advanced Data Science Course completion certificate?
Professionals can acquire their Advanced Data Science Certificate after attaining the required pass mark in the relevant exam.
Can Advanced Data Science Certification help a business analyst?
Yes, this certificate enhances many skills of a business analyst and will help them attain professional development.
Can Advanced Data Science Certification in Malatya help me in my career growth?
Yes, Advanced Data Science Certification provides expertise and competence for individuals with sound knowledge of Data Science and its techniques. It helps professionals with salary hikes and better job opportunities.
Advanced Data Science Examination Procedure
PREPARE
Go through the intense 4-day Advanced Data Science Training offered by Unichrone. Fulfil all the requirements before the examination.
APPLY
Apply for the Advanced Data Science Exam conducted by Unichrone. Choose the suitable date for the exam.
ACQUIRE
Get certified with Advanced Data Science after clearing the exam. You will receive an email confirming the status.
What our customers say
Kenneth Beard
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Very engaging course with real world context and wonderful examples. Helped to expand my knowledge as a direct result of it.
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Super awesome faculty! The best part of the training was lots of real time case studies and interactive sessions. Learnt many new concepts.
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Interesting, Focused, Real life case studies. The material was a comprehensive presentation of Lean principles and Six Sigma.
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Really interesting, a lot of knowledge about processes, in many areas and departments, helped to understand the subjects easily.
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I opted for Instructor led Online Session. The training was very well executed. It was awesome and exceeded my expectations.
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Faculty and Mentors
Our certified and highly experienced trainers are handpicked from various industries to assist aspirants with practical insights into the field, thereby providing a comprehensive understanding of fundamentals and complex terminologies
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Other general FAQs for Advanced Data Science Certification
Take a sneak peek into why professionals need to be certified with Advanced Data Science.
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What is a Data Science?
Data Science is an interdisciplinary academic field that uses scientific methods and algorithms to extract knowledge from structured and unstructured data.
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How to become an advanced Data Scientist?
To become a data scientist, learn data wrangling, data visualization, and reporting, learn statistics, attain machine learning skills, learn to code, understand databases, and know how to work with big data.
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Are there any prerequisites to attend the Advanced Data Science Course?
The important prerequisite to attending an Advanced Data Science Course is to have a basic understanding of statistics, programming, and data visualization.
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What is the salary of a data scientist?
The average salary of a data scientist is USD 1,55,278, according to the recent statistics.
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What are the four types of machine learning?
Supervised, semi-supervised, unsupervised, and reinforcement are the four types of machine learning.
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What is Natural Language Processing?
Natural Language Processing is a machine learning technique that provides computers with the ability to interpret and manipulate human language.
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What are the four types of regression?
Simple regression, multiple regression, linear regression, and logistic regression are the four types of regression.
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What is DAX?
DAX is a formula expression language used in analysis services and power BI. DAX formulas can work in numeric and non-numeric data types.
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What are the four types of data models?
The most important data models are hierarchical, network, relational, and entity relationships.
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What are the four types of big data analytics?
The four types of big data analytics are descriptive, diagnostic, predictive, and prescriptive.
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