Big Data Analytics

PhD Big Data Analysis Services

Get Data Mining for Your Big Data Through Our Big Data Analytics Service

Is the thought of using Big Data in your thesis bothering you? Are you facing troubles in narrowing down where and how to use Big Data in your research? Or is it simply confusing to incorporate Big Data into conventional research methodology? Look no further than here, we have solutions to all your worries.
We provide comprehensive big data analytics assistance across a wide range of disciplines that would demonstrate all expertise learning outcomes of the topic, showcase intellectual ideas, critical analysis, evidence of original concepts and new design generations.
We provide comprehensive big data analytics assistance across a wide range of disciplines that would demonstrate all expertise learning outcomes of the topic, showcase intellectual ideas, critical analysis, evidence of original concepts and new design generations.
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PhD Data Science and Big Data Analytics Mentoring Services for Thesis & Journal Publication Support | PhD Assistance Research Lab

PhD assistance research lab gives you the best data science and big data analytics solutions with our experts guiding you through every step of data analysis ranging from data cleaning to model deployment through technologies like Python, R, MATLAB, and more. We handle diverse forms of data like time series, spatial data, social networks, genetic sequences, and multimedia data sets. No matter if your research is predictive modeling, machine learning, or descriptive analytics, we offer big data analytics project help with right technique—prescriptive, predictive, diagnostic, or descriptive—to obtain precise, publication-worthy results based on your university or journal requirements.

Are You Using Big Data for Your Dissertation Research? Structured | Unstructured | Semi-Structured

Big data include high-velocity, high-volume, and high-variety data from sources like social media, stock exchanges, IoT sensors, search engines, and more. Processing them is a big challenge—especially for time-poor Ph.D. researchers with minimal time and advanced tool proficiency. Enter PhD Assistance Research Lab.
We provide PhD Data Science and Big Data Analytics guidance services tailored to thesis writing, dissertation guidance, and journal publication. Whether you are handling structured datasets or unstructured data types like images, text, and time series, we guide you through appropriate analytical frameworks, tools, and techniques from data preprocessing to model validation.

What We Do for You
We help you unravel big datasets by

• Descriptive analytics – Know what happened through clustering, summaries, and data mining.
• Predictive analytics – Use regression, time-series forecasting, and ML models to predict trends.
• Prescriptive analytics – Use simulations and optimization algorithms to suggest next steps.
• Diagnostic analytics – Detect root causes through advanced statistical and exploratory tools.

Tools & Technologies We Use Our strengths are:

• Big Data tools: Hadoop, Hive, Spark, Pig, MapReduce, YARN, NoSQL
• Data science libraries: Python, R, MATLAB, TensorFlow, Keras, Scikit-learn
• Visualization & Mining: Tableau, Power BI, ANNs, decision trees, k-means, rule induction

What You Get
As part of our mentoring and writing services, we assist you with

• Research design and pro blem statement formulation
• Full coding and implementation support
• Thesis or dissertation chapter writing
• Merging Big Data with conventional research methods
• Data cleaning, transformation, collection, and analysis
• Manuscript preparation for publication in a SCOPUS/WoS-indexed journal
• In-text citation, formatting, references, appendices

Why Choose Us?

Our PhD data science and analytics support is provided by the experts from premier universities and possess domain knowledge in:
• Healthcare, finance, social sciences, e-commerce, engineering, bioinformatics
• Expert advice on using models such as logistic regression, neural networks, stochastic modeling, NLP, genetic algorithms
• We simplify complex research and make it publication-ready

Our Process is Straightforward From sign-up to final delivery:

1. We send you a personally assigned expert.
2. Have brainstorming sessions to explain your research gap.
3. Develop a tailored research and analysis strategy.
4. Provide deliverables with explanations to support your learning and defense.

PhD Assistance Research Lab is your scholarly partner for Big Data dissertation help, predictive modeling, and journal publication. Let us be your individual research

Our Guarantees – Premium Data Science & Big Data Analytics Solutions
PhD Assistance Research Lab offers quality academic assistance for researchers addressing the challenges of big data, machine learning, and high-level analytics in their research papers and Ph.D. theses. With a team of publication strategists, coders, and subject-matter experts on our side, we make your research technically sound, ethically compliant, and globally compliant
All thesis chapters, analytics reports, and code documentation are hand-written from scratch—not authored by AI. Each deliverable is checked with Turnitin, WriteCheck, and AI detection software for authenticity, originality, and research integrity.

Your assignment is submitted to data scientists, big data experts, and machine learning engineers with academic and professional backgrounds in areas like:
• Data Science & Artificial Intelligence
• Bioinformatics & Healthcare Analytics
• Financial & Econometric Modeling
• Engineering & Internet of Things
• Social Network & Web Analytics
We customize each deliverable according to your research questions, university guidelines, and data complexity.

From APA-style documentation to IEEE manuscript preparation, we make sure your research output complies with the university thesis template or the final submission format of the target journal. We provide services to scholars from:
• IITs, IIMs, NUS, NTU
• Oxford, Harvard, Cambridge
• UGC and AICTE-approved institutions

We employ peer-reviewed, high-impact sources for model and theory verification, including:
• Scopus, Web of Science
• Springer, Elsevier, IEEE
• arXiv, Google Scholar, ProQuest
• Real-world datasets (Kaggle, Statista, government websites)
We provide full traceability and citation support through EndNote, Zotero, or Mendeley.

Our cross-disciplinary team includes:
• Ph.D. Data Scientists & Analysts
• AI/ML Engineers & Python/R Developers
• Academic Authors & Journal Publication History Editors
• Peer-review–friendly proofreaders

Whether you have to change a model output, reformat your Jupiter notebook, or revise your discussion chapter, we facilitate unlimited revisions until your editor or reviewer is happy.

We adhere to existing code annotation conventions, model explanation conventions, and academic citation conventions. Your output will include:
•In-line comments for every code block
•References in APA, IEEE, Chicago, or journal-based conventions
•Visual documentation and plots for statistics

We provide end-to-end service via tools such as:
•Python, R, MATLAB, SPSS, Stata
•Hadoop, Spark, Hive, MapReduce, NoSQL
•Power BI, Tableau, Google Colab, Jupyter Notebooks

We deliver schedule compliance with:
• Minor code/report updates within 24 hours
• Large deliverables within 48–72 hours
• Live chat and email support during business hours

We match your thesis (8,000–80,000+) to submission guidelines without padding. Figures, tables, appendices, and blocks of code are clearly shown, academically correct.

•Raw datasets (CSV, SQL, JSON, etc.)
•Source code with README files
•Algorithm flowcharts and architecture diagrams
•Journal references and downloadable PDFs
•PPTs and notes for viva-voce preparation

If you are looking for an excellent piece of research work, then take a look at our sample PhD dissertation proposals

The Subject Area We Serve Under Premium Data Science & Big Data Analytics Services

PhD Assistance Research Lab provides customized PhD big data analytics services and data science solutions for a wide range of academic and applied sciences. These are solutions committed to fulfilling thesis, dissertation, and journal publication needs.
We use relevant tools and platforms (Python, R, Hadoop, Spark, SQL, TensorFlow, KNIME, Power BI, etc.) come most pertinent to the subject matter to provide better big data analytics solutions. If your data are structured, unstructured, or in real-time streaming, we will cover it all.
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Psychology Big Data Analysis Services

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Computer science Big Data Analysis Services

Business & Management Topic Selection

Business & Management Big Data Analysis Services

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Big Data Analysis Services by Subject Area

High-End Data Science & Big Data Analytics Service for Publishing PhD Thesis & Journal Papers

We, at PhD Assistance Research Lab, offer turnkey Data Science and Big Data Analytics solutions to meet the needs of PhD students and researchers. Right from handling structured, semi-structured, and unstructured data to leveraging high-end analytics techniques, our experts help you through every step—model development, data preprocessing, result interpretation, and implementation in manuscript. Regardless of the research discipline you belong to – predictive modeling, NLP, social media analytics, or large-scale data architecture such as Hadoop and Spark – we offer methodological accuracy, reproducibility, and journal-quality presentation. For authors seeking publication in top-ranked journals or presentation of well-written data-driven dissertation.

Data Preprocessing & Integration

Clean, transform, and combine structured/unstructured data set (CSV, SQL, NoSQL, JSON, XML, APIs).

Predictive Modeling

Machine learning algorithms: Linear/logistic regression, decision tree, random forest, SVM, XGBoost, LSTM, etc.,

Natural Language Processing

Topic modeling, NER, Sentiment analysis, text mining – using conflicting libraries of spaCy, NLTK, and Gensim.

Data Visualization & Dashboards

Power BI and Tableau for building dashboards to aid thesis defense presentations and lay out visuals for journal submission.

Exploratory Data Analysis (EDA)

Pattern analysis with Python (Pandas, Seaborn), R, Power BI.

Prescriptive Analytics

Optimization and simulation methods (e.g., linear programming, AHP, stochastic models) for aiding strategic decisions.

Time Series Analysis

Forecasting of disease outbreaks, research trends, and financial markets using SARIMA, ARIMA, Prophet, and LSTM.

Academic Writing & Journal Manuscript Integration

Structuring results into chapters of the thesis/dissertation and integrating analytics with APA/Harvard citation.

Descriptive & Inferential Analytics

ANOVA, correlation, t-tests, chi-square tests, hypothesis tests for aiding thesis and publication chapters.

Big Data Engineering

Hadoop, Spark MLlib, Hive, HBase, Kafka—installation and deployment for behemoth research analytics.

Web & Social Media Analytics

Reddit, Twitter Mining using APIs and integrating results into scholarly output.

Order process

Ordering your big data analytics service from PhD Assistance Research lab is quick and easy. You need to follow the easy steps given below
1

Submit Your Requirements and Make Payment

You complete the order form by filling out your research requirements, and then you complete a secure online payment. This will allow us to initiate your planning and method construction process immediately.

2

Order Confirmation & Expert Allocation

After you process the payment, an order confirmation will be made available to you. A qualified subject-matter expert that has a matching research method will be assigned your project.
3

Regular Updates & Two-Way Communication

Regular updates regarding the progress of your project are provided to you on a regular basis. If there any updates or changes from your university or supervisor are provided to you, we are always happy to hear from you.
4

Editing, Proofreading & Plagiarism Checking

Your document is edited and proofread with respect to grammar, structure, and academic style by one of our native-English editors. A plagiarism scan is conducted to ensure 100% original content, before your document is forwarded to you.
5

Review & Revisions

We cross-check the document with your original requirements. Unlimited free revisions are offered for supervisor feedback or content updates.

6

Final Delivery & Feedback

You will receive your final document submission through our CRM and email, along with any support documents. Feel free to provide all feedback so we can improve our performance

Data Science & Big Data Analytics Packages

Starter Package
Perfect for early- stage researchers demanding guidance with exploratory data analysis and descriptive statistics.
  • Data drawing & preprocessing
  • Exploratory data analysis (EDA)
  • Descriptive statistics
  • Simple data visualization (charts, tables)
  • Up to 10,000 records
  • Report summary for thesis integration

-Timeline 7 – 10 working days
-Ideal For Master’s theses, early PhD chapters, small scale studies

Advanced Package
Ideal for PhD scholars working on full- scale logical models with journal- position prospects. Includes
  • Everything in Starter Package
  • point engineering
  • Predictive modeling (Regression, Bracket, Clustering)
  • Cross-validation & delicacy testing
  • Model interpretation (portions, AUC, confusion matrix, etc.)
  • Tool- predicated affair explanation (Python, R, SPSS)
  • Academic write- up with citations
-Timeline 10 – 15 working days
-Ideal For PhD compositions, applied machine knowledge, SCOPUS- listed journal submission
Premium Package
Best suited for researchers handling high- volume, high- haste data or journal resubmissions.
Includes
  • Everything in Advanced Package
  • Big data processing using Spark, Hadoop, or Hive
  • Real- time/ streaming data support (Kafka, Flume)
  • Deep knowledge model development (TensorFlow, PyTorch)
  • Integration of results into journal handwriting
  • backing with law execution & reproducibility
  • Plagiarism and AI- check tractable reports
-Timeline 15 – 25 working days
-Ideal For Big data disquisition, deep knowledge systems, high- impact journal publications
Custom Package
Ideal for scholars with largely specific tools, data types, or interdisciplinary conditions. Includes
  • Modular services pick and choose features)
  • Support for rare or custom- made datasets
  • Algorithm design or adaptation
  • crossbred tools integration (e.g., Python Power BI)
  • Research gap alignment and specialized consulting

-Timeline predicated on compass
-Ideal For Niche disciplines, PhD- sedulity collaborations, new algorithm design

Pricing for Data Science & Big Data Analytics Support for PhD Students

Package

Starter

Advanced

Premium

Custom

Scope

Introductory data cleaning, EDA, visualization
Modeling, interpretation, academic write-up
Big data tools, deep knowledge, journal writing support
Fully adapted, interdisciplinary, tool-ferocious systems

Starting Price (USD)

$300 – $500

$600 – $900

$1000 – $1600

Starts from $1200

Timeline

7–10 working days

10–15 working days

15–25 working days

Based on project scope

Pricing Factors May Include:

  • Data size & complexity (structured vs. unstructured, streaming vs. static)
  • Number of models or algorithms to be tested
  • Toolsets (e.g., Python only vs. Python Spark Tableau)
  • Academic conditions (e.g., SCOPUS journal formatting, Journal-ready document)
  • Urgency (express delivery may dodge extra charges)

    • Datasets We Use for Academic Big Data Analytics Assistance

    Health and Biomedical
    • MIMIC-III & MIMIC-IV - Critical care data (ICU patients).
    • TCGA (The Cancer Genome Atlas) - Genomic data for cancer research.
    • PHIS - Pediatric hospital database.
    • NHANES - National Health and Nutrition Examination Survey.
    Genomics and Bioinformatics
    • 1000 Genomes Project
    • Ensemble Genomes
    • Gene Expression Omnibus (GEO)
    • UCSC Genome Browser datasets
    Finance and Economics
    • Yahoo Finance / Bloomberg API - Stock market & economic indicators.
    • FRED (Federal Reserve Economic Data) - Macroeconomic time series.
    • World Bank Open Data - Economic, financial and development indicators.
    • CRSP & Compustat - US company level financials (licensed access).
    Social Media Text Mining
    • Twitter API datasets – Tweets for sentiment, title, misinformation analysis
    • Reddit Dump – Large-scale forum discussion data
    • Common dataset – Massive web content corpora
    • Google Ngram & Wikipedia dumps – Verbal trend analysis
    Geospatial & Environmental
    • Landsat / Sentinel Satellite Data – Remote imagery
    • NOAA datasets – Climate and rainfall records
    • OpenStreetMap – Spatial and mapping data
    • WorldClim – Global climate layers for modeling and mapping
    Public Policy, Checks & Demographics
    • IPUMS (International Census & Checks)
    • DHS (Demographic and Health Questionnaire)
    • GSS (General Social Survey)
    • Pew Research Center Datasets – Public opinion & demographic studies
    Education & Learning Analytics
    • Open University Learning Analytics Dataset (OULAD)
    • KDD Cup Educational Datasets
    • ASSISTments – Scholar-level participation data
    Computer Vision & Multimedia
    • ImageNet / COCO / OpenImages – Object recognition
    • UCF101 / HMDB51 / Kinetics – Video category
    • VGGFace / LFW (Labeled Faces in the Wild) – Facial recognition
    • GTZAN Dataset – Music-based category

    Types of Big Data We Handle

    Whom We Serve – Support in Data Science & Big Data Analytics at PhD Support Research Lab

    Our Best-in-Class Data Science & Big Data Analytics Services are formulated for all categories of academic and professional researchers looking for expert-level support for doctoral research, journal articles, or applied studies.

    Tools and Technologies We utilize

    Our Big Data Analytics Solutions and Data Science support

    At PhD backing Research Lab, we use advanced big data platforms, programming languages, and tools that meet the rearmost assiduity and academic norms to make sure that your discussion or journal exploration aligns with publication quality and methodological rigor.
    These tools are named and used grounded on the type of exploration data, exploration methodology, and publication demand. Our platoon ensures that your design is not only methodologically sound but also yielded with scalable and reproducible data wisdom workflows.
    We help PhD students in various disciplines (Computer Science, Engineering, Health Informatics, Management, Public Policy, and others) regarding big data for dissertation research with sophisticated machine learning, AI, and big data methods. Suitable for thesis chapter, research papers, and dissertation defense.

    Our experts work with university data labs, research guides, and advisors to aid institutional research projects, grant proposals, or cross-disciplinary research with big data.

    Postdocs and researchers who study big data in climate science, finance, education, sociology, or bioinformatics can also benefit from our scalable analytics solutions, model platforms, and publication-ready results.

    Corporate R&D analysts, data science teams, and corporate researchers also benefit from our academic-grade statistical modeling, simulation, or algorithm verification for publication or internal reporting.

    Wherever you are studying in the US, UK, EU, Australia, UAE, or Asia, we assist you in fulfilling your university’s data analysis requirements with global tools and formats (e.g., Python, R, Hadoop, TensorFlow, SPSS, etc.), as per international academic guidelines.

    • Apache Hadoop (HDFS, MapReduce)
    • Apache Spark (MLlib, Spark SQL, Spark Streaming)
    • Hive & Pig (for large-scale data query and scripting)
    • YARN (Yet Another Resource Negotiator)
    • HBase (non-relational distributed database)
    • Kafka (streaming and real-time data processing)
    • Elasticsearch (research & log analytics)

    • AWS (S3, Redshift, EMR)
    • Google Cloud Platform (BigQuery, Cloud ML)
    • Azure Data Lake
    • Snowflake
    • Databricks

    • Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch) • R (Tidyverse, caret, ggplot2, Shiny, R Markdown) • SQL / NoSQL (MySQL, PostgreSQL, MongoDB, Cassandra) • MATLAB (for algorithm simulation, image processing, signal analysis) • Scala (used with Apache Spark) • Java (for enterprise and scalable analytics systems)
    • Power BI • Tableau • Google Data Studio • D3.js / Plotly • Matplotlib / Seaborn (Python)
    • Git / GitHub • Bitbucket • Jupyter Notebook • Google Colab

    • TensorFlow
    • Keras
    • PyTorch
    • XGBoost / LightGBM
    Weka / Orange

    Check at what stage you’re into & Analyse how you can fit into our engagement model

    Check Where You Are in the Research Journey & Fit Into Our Engagement Model

    The PhD research journey in data science and big data analytics is never linear. It’s often messy filled with complex datasets, algorithmic confusion, tool overload, and uncertainty around how to interpret results. At PhD Assistance Research Lab, we walk with you through this entire journey, offering technical mentorship, code support, and manuscript integration at every stage.

    Matteo

    Client Testimony
    “I applied a classification model (e.g., Random Forest), but my reviewer asked why I didn’t use SVM or neural nets and how the model fits my problem.”

    Analytical Model Justification & Research Alignment We assist in defending your choice of models—machine learning or statistical—based on your dataset, problem type, and outcome goal. Whether regression vs. classification or K-means vs. DBSCAN, we align method to research design for academic rigor.

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    Sofia

    Client Testimony
    “I ran predictive analytics on my dataset using Python and R, but I’m struggling to explain what my outputs (RMSE, AUC, clustering results) mean in my manuscript draft.”

    Data Science Results Interpretation & Reporting We help you interpret your model outputs—metrics like precision, recall, MAE, confusion matrix, clustering validity, and more. We guide you to write this clearly in your results/discussion section, whether for thesis or journal publication.

    Learn More

    Elena

    Client Testimony
    “I have time-series social media data, but I don’t know what algorithm fits it—ARIMA, LSTM, or Prophet. I’m lost.”

    Model Selection & Implementation Planning We help identify the right analytics method or machine learning algorithm—based on your variable structure, data type (text, time-series, etc.), and research questions. From supervised models to unsupervised clustering and NLP, we guide you to valid implementation.

    Learn More

    Daniel

    Nathan
    “The editor asked me to verify if my deep learning model was overfitting and explain how I ensured robustness.”

    Model Validation & Performance Testing We conduct thorough validation using techniques such as cross-validation, confusion matrix, hyperparameter tuning, ROC-AUC, learning curves, and regularization strategies. You get code-validated results ready to pass journal or peer review.

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    Our Guarantee

    What We promise, we deliver exactly the same
    PhD. Assistance Research Lab assists in framing the PhD research proposal as per the standard university guidelines. We have assisted researchers pursuing their PhD from universities across the globe, such as the UK, the USA, Netherlands, Australia, UAE, Dubai, Kenya, Nigeria, China, Russia and many more countries. We are aware of the guidelines set by different universities and strictly follow the same.
    Further, we are aware of the plagiarism tolerance policy and therefore strive to ensure that all the papers sent to our clients are original. Our Qualified and experienced writers/researchers ensure to deliver your work with 100%confidentiality, on-time delivery, and 100% match with the initial requirement
    Plagiarism Free

    Plagiarism Free

    unlimited support

    Unlimited Support

    On-time-delivery

    On-time delivery

    Subject-Matter-Expertise

    Subject Matter Expertise

    Communicate-with-your-writer

    Communicate with your writer

    Updated-academic-resources

    Updated academic resources

    Free-research-articles-supply-

    Free research articles supply*

    Our Sample & Example Works Speaks

    We take pride in the quality of work we deliver. To know more, just look at some of our samples developed by writers at PhD Assistance Research Lab. The samples are a testimony of our expertise, while reflecting quality. By perusing these samples, you will get an idea of our versatility across topics and subject domains.
    social-media service by Phd assisstance
    The Impact of Social Media on Adolescent Mental Health: A Longitudinal Study

    Social media now days has become an integral part of young people’s lives,

    education-service by phd assisstance
    Education Proposal

    Presented here is a high-quality doctorate-level dissertation proposal sample,

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    Business Management Proposal

    Explore this high-quality PhD-level dissertation proposal, developed as a sample for prospective scholars.

    Client success stories

    Research Proposal service

    Quality & Compliances

    We’ve worked on so many great PhD projects for our clients across the globe, and we’re proud of every single task that we carry out

    Email-Communication services by PHDassistance
    Communication through email
    sample-ERP-QC services by PHDassistance
    Quality Check through ERP System
    Plagiarism Report

    Frequently Asked Questions.

    Pricing by Ph.D. Assistance Research Lab is fair as compared to others, but the quality of the writing is unbeatable. We also facilitate seasonal discount plan, and referral offers for our customers. Please contact our project coordinators for further information.

    PhD assistance research lab offers following big data analytics help for PhD students.

    Analytical big data services
    At Ph.D. assistances, we offer the various analytical big data that includes MPP (Massively parallel processing database systems, Map reduce (Complex analysis that touch all most all kinds of data) and much more.
    Descriptive analytics services
    We offer descriptive analytics services that explore appropriate information that already happened, as well as identify the root problems in your research area. It answers the past questions ‘what has happened’ using data clustering and data mining techniques.
    Predictive analytics services
    Most of the students are failing to do this process in their thesis; we have the preeminent data scientist team that is best at predicting the future trends and probability. Especially those who are pursuing a doctorate in Big Data analytics, and doing predictive analytics can use these services. It answers the future questions ‘what might happen’ using statistic models and forecast techniques
    Data mining help
    At Ph.D. Assistance, we use the data mining techniques , in many research areas such as genetics, marketing mathematics, cybernetics and more subjects.
    Web mining support
    It is a type of data mining used in CRM (customer relation management)
    Prescriptive analytics services
    We help you to use the various simulation and algorithm to admit the possible outcome to decide or answer the question ‘what should we do further. Usually, big companies are using fruitfully the optimize production.s

    At PhD Assistance Research Lab, we provide following services to the UK/US students
    • Full assistance in implementation
    • Execution
    • Writing of the thesis
    • Integrating big data with conventional research methodology
    • Data collection, analysis, and interpretation
    • Project compilation and presentation
    • Relevant findings
    • Discussion and conclusion
    • Formatting
    • Referencing
    • Appendices
    • Research paradigm
    • Conceptual framework

    Yes, you may communicate with our academicians via company Skype, mail, WhatsApp chat messages and call. In fact, you may directly speak to the given writers once an appointment is set with our project coordinators and make all arrangements for you.

    No. We are not charging extra amount for any revision of the document. We do any numbers of revisions until our customers get satisfied. To know more details about revisions and other inquiries. Please feel free to conduct our project coordinators or request a call back on the website to get the call back from experts. You may also please read our terms and conditions while placing an order.

    Sure, we will assist you. If you are searching for the courses or onsite/offsite tutor to get knowledge of how to write a dissertation, then contact us or Request call back. When you take our services, we will give you professionally and researcher who will assist to teach or train you to divide every step of the dissertation writing into manageable parts.

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