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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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

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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.

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Why You Should Choose metafiser?

  • METAFISER LMS Portal
  • World-Class Instructors
  • Expert-Led Mentoring Sessions
  • Instant doubt clearing
  • 100+ Live Hours
  • Course Access Never Expires
  • Free Access to Future Updates
  • Unlimited Access to Course Content
  • 7 Months Program
  • One-On-One Learning Assistance
  • Help Desk Support
  • Resolve Doubts in Real-time
  • Live 1 to 1 Mentorship
  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments
  • 300+ Hiring partners
  • CPD UK Certificate
  • Project Certificate of Metafiser
  • Metafiser Certificate of Completion
  • CPD UK Certification
  • CPD UK Certificate
  • Project Certificate of Metafiser
  • METAFISER Certificate of Completion
  • Online Portfolio Builder

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

  • Job Assistance

Profile Analysis of an Individual to Assist them in Placement

  • Mock interviews

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

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ALUMNI NETWORK

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

Our Media Coverage

Read learner testimonials

"This session was something I was really looking forward to. It was very effective to build logical approach and most important error solving.
Pratiksha salveka
Pratiksha salvekaCoruse-Power BI
The overall session was very informative. I personally developed good logical thinking as i tried doing it on my own. Sir gave us huge amount of information related to machine learning as well as projects as well.
Rishav Gupta
Rishav GuptaCourse - Machine learning
you are very lucky person when you will get chance to work with Vaseem Durrani sir and I'm one of them, sir you have sea of knowledge about Python programming, raspberry pi and all the things that comes under IOT(Internet on Things).
Akash Koshti
Akash KoshtiCourse - IoT
Vaseem sir ur teaching process is very nice and 90% concept of machine learning is clear and analysed what we should do and we are very lucky students for this training thank you so much sir
Shruti Nagane
Shruti NaganeCourse - Machine learning
I just completed my training at ACODS for Machine Learning and I must say that the course was comprehensive and encompassed all modules of python. Mr. Vaseem, the head faculty, is very knowledgeable and helped me understand all concepts and their applications in realtime code execution wonderfully.
Arul Kumar
Arul KumarCourse - Machine learning
It was AWESOME,FABULOUS, OUTSTANDING,MINDBLOWING to gain the knowledge from VASEEM SIR and his team.Sir and his team helped alot to clear our doubts and to make feel us confidence of what we are learning .
Abhishek Rai
Abhishek RaiCourse - Python
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