Cpd uk data science certification program

Unlock the power of data and shape the future with the comprehensive Job Guarantee Data Science program.

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300k+ Trained Data Science

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COURSE OVERVIEW

This curriculum is designed to equip participants with the skills and knowledge needed to excel in the field of Data Science.

The course will equip working professionals through hands-on training and theoretical concepts, students will learn data analysis, machine learning, data visualization, and more.

Upon completion, participants will receive a prestigious CPD UK certification, validating their expertise in Data Science.

Job Demand Expected to Grow by 88% every year

curriculum

  • Overview of Data Science and its applications
  • Role of a Data Scientist and key skills required
  • Introduction to the Data Science lifecycle and methodologies
  • Ethical considerations in Data Science
  • DQL, DDL, DML
  • Joins in SQL, Sub query , set operations
  • CRUD operations
  • Database connectivity with python, Power BI , Tableau and Studio
  • Variables, Datatype, flow control, for, if-else, while
  • Lists, tuples, sets, dictionary,
  • Strings, functions
  • Case studies, problem statements and quzzies
  • Identifying and obtaining relevant data sources
  • Data collection techniques (web scraping, APIs, databases, etc.)
  • Data quality assessment and pre-processing
  • Handling missing data and outliers
  • Data wrangling and feature engineering
  • Reinforcement learning algorithms
  • DQL, DDL, DML
  • Joins in SQL, Sub query , set operations
  • CRUD operations
  • Database connectivity with python, Power BI , Tableau and Studio
  • Overview of supervised, unsupervised, and reinforcement learning
  • Linear regression and regularization techniques
  • Classification Algorithms (logistic regression, decision trees, random forests, etc.)
  • Clustering Algorithms (k-means, Hierarchi-cal clustering, etc.)
  • Evaluation metrics for Machine Learning models.
  • Model selection techniques (train-test split, cross-validation, etc.)
  • Overfitting, underfitting, and regularization techniques
  • Hyperparameter tuning and model optimization
  • Ensemble methods and model stacking
  • Performance evaluation and model interpretation
  • Support vector machines and kernel methods
  • Neural networks and deep learning
  • Natural Language Processing (NLP) techniques
  • Time series analysis and forecasting
  • Introduction to big data and distributed computing
  • Processing large-scale data with Apache Spark
  • Working with distributed file systems (Hadoop HDFS, AWS S3, etc.)
  • Scalable data storage and querying (Apache Hive, Apache Cassandra, etc.)
  • Implementing big data analytics pipelines
  • Techniques for feature selection and importance ranking
  • Handling categorical variables and feature encoding
  • Feature scaling and normalization
  • Feature extraction from text and images
  • Handling imbalanced datasets
  • Fundamentals of deep learning & neural networks
  • Building and training deep neural networks
  • Convolutional Neural Networks (CNN) for image processing
  • Recurrent Neural Networks (RNN) for sequence data
  • Transfer learning & fine-tuning pre-trained models
  • Effective data visualization principles and best practices
  • Using visualization Tools (Tableau, PowerBI, etc.)
  • Interactive dashboards & storytelling with data
  • Communicating insights and findings to non-technical stakeholders
  • Ethical considerations in data visualization
  • and communication
  • Overview of cloud computing and its benefits for Data Science
  • Building scalable data infrastructure on cloud platforms (AWS, Azure, GCP)
  • Leveraging cloud-based analytics services (AWS Athena, Google BigQuery, etc.)
  • Containerization and deployment of Data Science models

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LIST OF PROJECTS

Predictive Sales Analytics

Customer Segmentation

Churn Prediction

Sentiment Analysis

Fraud Detection

Image Classification

NLP Chatbot

Time Series Forecasting

Customer Lifetime (CLTV) Prediction

Want to build strong project protfolio?
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Professional Certification

Enhance Your Employability and Recognition by Combining your degree and experience with success
in the Data Science Institute’s Industry Recognised and Approved Professional Certifications.

CPD_ACODS_Certitication

Why You Should Choose ACODS?

  • World-Class Instructors
  • Expert-Led Mentoring Sessions
  • Instant doubt clearing
  • Course Access Never Expires
  • Free Access to Future Updates
  • Unlimited Access to Course Content
  • One-On-One Learning Assistance
  • Help Desk Support
  • Resolve Doubts in Real-time
  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments
  • CPD UK Certificate
  • Project Certificate of Metafiser
  • ACODS Certificate of Completion
  • CPD UK Certificate
  • Project Certificate of Metafiser
  • ACODS Certificate of Completion

To showcase your projects via GitHub, Kaggle, and many more

Profile Analysis of an Individual to Assist them in Placement

To Perform well and Boost your Confidence in Interviews

JOB PROFILES

DATA ANALYST

BUSINESS ANALYST

DATA SCIENTIST

SOCIAL MEDIA ANALYST

AI/ML RESEARCHER

BIG DATA Engineer

DATA ARCHITECT

MARKET ANALYST

FINANCE Analyst

Looking for Customized Training Programs?

ALUMNI NETWORK

Companies

Advisory Board

Expert-in
Java, Spring, REST, Data Engineering, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AZURE,AWS System Designing, Redis, Postgres, hibernates, Open source technologies

Expert-in
AWS, Spark, Scala, Python, Java, Big Data, Kafka, NO SQL, SQL, Performance optimization, Flume, ELK, Kubernetes, Kafka

Expert-in
Data Engineering, AI-ML, SQL, MLOPS, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AWS, GCP, Scala

Expert-in
Java, Spring, REST, Data Engineering, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AZURE,AWS System Designing, Redis, Postgres, hibernates, Open source technologies

Expert-in:
ML, Spark, Hadoop, Snowflake, RDBMS, NoSQL, AWS, Java, Scala and Python

Expert-in:
Microsoft Power-BI, Tableau, pySpark,Big Data, Python, SQL, Deep Learning, ML Algorithms, Automation ,Data Analysis.

Expert-in:
AI-ML, Data Engineering, Big Data, Hadoop, Spark, Kafka, No SQL, Apache-airflow, AZURE, AWS, System Designing, Kubernetes,Memchange

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Location Address

Vata A, 194 & 195, Sector 63 Rd, A Block, Sector 63, Noida, Uttar Pradesh 201301

 

The Meydan Hotel, Business Center 1 – M Floor – Nad Al Sheba  – Dubai

Get your profile reviewed now to avail scholarship Upto 50%

Get your profile reviewed now to avail scholarship Upto 50%

Looking for Upskilling? Looking for Career Transition?

Talk to Our Program Expert

Location Address

Vata A, 194 & 195, Sector 63 Rd, A Block, Sector 63, Noida, Uttar Pradesh 201301

 

The Meydan Hotel, Business Center 1 – M Floor – Nad Al Sheba  – Dubai

Get your profile reviewed now to avail scholarship Upto 50%

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