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UK Certified Data Science Program

The UK Professional Certification in Data Science program offered by ACODS is an excellent opportunity for individuals seeking to improve their knowledge and skills in the data science field
The program provides a comprehensive understanding and practical experience working with real-world data sets.Our certification can give you a competitive advantage in the International job market.
ACODS is a reliable institution that provides high-quality education and training, making it an excellent option for individuals pursuing a career in Data Science.
Enrolling in this program is a chance to advance your career, so don’t miss out on this opportunity.

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300k+ Trained Data Scienctist

Key Features

100 Hours of Intensive Live Virtual Training
100+ Hours of Practical Assignments
2 + 2 Capstone Live Projects
6 months of Project Exp Certificate

Data Science Certificate from CPD
100% Job Guarantee*
No Cost EMI Available
Dedicated Mentor for Instant Doubt Clarification

Our Hiring Partner

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.

PROGRAME OVERVIEW

ACODS offers a one-of-a-kind project-based international certification program in Data Science with a commitment to 100% global job placement.

The curriculum is carefully curated to provide a variety of case studies and projects with hands-on implementation experience.

Beyond syntax and examples, this curriculum will provide you with valuable expertise in integrating machine learning and artificial intelligence concepts into real-world business challenges.

Tools Covered

Who Can Apply

Working Professionals looking for Job Change in International Market.

Working professionals looking to transition to the international market should consider obtaining a UK Data Science Certification Program as it demonstrates proficiency in data analysis and machine learning, highly sought after skills in the global job market.

Any Graduate with at least 50% marks

The UK Data Science Certification Program is an ideal choice for working professionals seeking to enhance their skills, as it offers comprehensive training and industry-recognized certification in Data science.

Working Professionals looking for skill enhancement.

Working professionals who lost their jobs during the pandemic should consider opting for a UK Data Science certification program to acquire new skills and increase their employability in the rapidly growing field of Data Science.

No coding experience required

Graduates with at least 50% marks should opt for the UK Data Science Certification Program as it offers world-class training and accreditation, enabling them to acquire in-demand skills and increase their employability in the rapidly growing field of Data Science.

Students pursuing graduation

Students pursuing graduation can benefit from enhancing their Data Science skills and employability by opting for a UK Data Science certification program.

Program Modules

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MODULE 1 : Python Fundamentals

Variables, Datatype, flow control, for,if-else, while
Lists, tuples, sets, dictionary,
Strings, functions
Case studies, problem statements and quzzies

MODULE 2 : Data Analysis using Python

Numpy and Scipy for matrix manipulation and for
statistical analysis of data in python
Problem statements and case study implementation

MODULE 3 : Data Visualization Using Python

Pandas for Data manipulation, matplotlib and
seaborn for data visualisation
Case studies, problem statements and quzzies

MODULE 4 : Data Analytics using Power BI

Introduction to Power BI
Relationship Modeling of DATA
DAX function, Joins, Sets, filtering, measures, calculated column
Power Bi services, Dashboard visualization, report publishing
Case studies, problem statements and quzzies

MODULE 5 : Data Analytics using Tableau

Tableau Desktop, Tableau Public, and Tableau prep builder
ETL process using Prep builder, Connecting and blending of
data in tableau desktop
Creating calculated field joins and merge of multiple tables
Filters and animation of data
Interactive dashboarding of multiple domain dataset

MODULE 6 : Data Analytics using Data Studio

Data studio overview, connect data
Create interactive report
Add visuals, filter control, date range,
Layout and styling
Sharing and publishing dashboards

MODULE 7 : SQL

DQL, DDL, DML
Joins in SQL, Sub query , set operations
CRUD operations
Database connectivity with python, BI , Tableau and
Studio

MODULE 8 : Statistics and Regressions

Measures of Central tendencies, variance, rank
frequency, kurtosis, skewness
Colinearity identification
Hypothesis testing, chi-squared testing
ANOVA test

MODULE 9 : Machine Learning

Supervised learning vs Unsupervised learning
Support Vector Machine, Random Forest, Decision Tree,
Naive Bayes, K-Nearest Neighbour.
Regressions – Logistics Regressions, Linear Regressions
Clustering- K-Means, Density Based clustering, Fuzzy Cmean
Implementing applications like Segmentation,
Recognitions, classification and detection

MODULE 10 : Deep Learning

Introduction to Neural Network, Activation functions,
neurons, loss functions, learning rate
Understanding TensorFlow, Keras , google colab to build
neural network model
Introduction to CNN, RNN , autoencoder, GAN, LSTM
models
Transfer learning, building cutom models
Case studies, problem statements and quzzies

MODULE 11 : Introduction to Big Data

BigData Introduction, Apache Spark
Hadoop vs Apache Spark
Pyspark introduction
Spark RDD, Spark SQL, Spark MLLib
Modeling Bigdata with Spark
Implementing Large ML models

MODULE 12 : Introduction to MLOps

MLOps Brief Overview, AutoMl, Hyperparameter tuning
Keras Autotuner,
Orchestration and ML Pipelines
Model Deployment
Model Analysis and Debugging
Deploying Deep Learning Model
Data Stage of the ML Production Lifecycle
Case studies, problem statements and quzzies

Program Modules

We provide companies and institutions with legal service for business and private clients

MODULE 1MODULE 2MODULE 3MODULE 4MODULE 5MODULE 6MODULE 7MODULE 8MODULE 9MODULE 10MODULE 11MODULE 12

Python Fundamentals

Variables, Datatype, flow control, for,if-else, while
Lists, tuples, sets, dictionary,
Strings, functions
Case studies, problem statements and quzzies

Data Analysis using Python

Numpy and Scipy for matrix manipulation and for
statistical analysis of data in python
Problem statements and case study implementation

Data Visualization Using Python

Pandas for Data manipulation, matplotlib and
seaborn for data visualisation
Case studies, problem statements and quzzies

Data Analytics using Power BI

Introduction to Power BI
Relationship Modeling of DATA
DAX function, Joins, Sets, filtering, measures, calculated column
Power Bi services, Dashboard visualization, report publishing
Case studies, problem statements and quzzies

Data Analytics using Tableau

Tableau Desktop, Tableau Public, and Tableau prep builder
ETL process using Prep builder, Connecting and blending of
data in tableau desktop
Creating calculated field joins and merge of multiple tables
Filters and animation of data
Interactive dashboarding of multiple domain dataset

Data Analytics using Data Studio

Data studio overview, connect data
Create interactive report
data in tableau desktop
Add visuals, filter control, date range,
Layout and styling
Sharing and publishing dashboards

SQL

DQL, DDL, DML
Joins in SQL, Sub query , set operations
CRUD operations
Database connectivity with python, BI , Tableau and Studio

Statistics and Regressions

Measures of Central tendencies, variance, rank
frequency, kurtosis, skewness
Colinearity identification
Hypothesis testing, chi-squared testing
ANOVA test

Machine Learning

Supervised learning vs Unsupervised learning
Support Vector Machine, Random Forest, Decision Tree,
Naive Bayes, K-Nearest Neighbour.
Regressions – Logistics Regressions, Linear Regressions
Clustering- K-Means, Density Based clustering, Fuzzy Cmean
Implementing applications like Segmentation,
Recognitions, classification and detection

Deep Learning

Introduction to Neural Network, Activation functions,
neurons, loss functions, learning rate
Understanding TensorFlow, Keras , google colab to build neural network model Naive Bayes, K-Nearest Neighbour.
Introduction to CNN, RNN , autoencoder, GAN, LSTM models
Transfer learning, building cutom models
Case studies, problem statements and quzzies

Introduction to Big Data

BigData Introduction, Apache Spark
neurons, loss functions, learning rate
Hadoop vs Apache Spark
Pyspark introduction
Spark RDD, Spark SQL, Spark MLLib
Modeling Bigdata with Spark
Implementing Large ML models

Introduction to MLOps

MLOps Brief Overview, AutoMl, Hyperparameter tuning
Keras Autotuner
Orchestration and ML Pipelines
Model Deployment
Model Analysis and Debugging
Deploying Deep Learning Model
Data Stage of the ML Production Lifecycle
Case studies, problem statements and quzzies

FAQs

What is the Enrollment process for the International Certification program?

Give the aptitude test, check your eligibility. Once you are shortlisted then there will be an interview. After clearing the interview you can take the admission

What will be the mode of learning for the program?

The mode of learning would be 100% instructor-led live online classes with 1-on-1 mentorship and weekly assessment.

What if I miss the Live classes?

If you miss a live class, you will get a recording of the classes within the next 5 hours. Apart from this, you will be given 24X7 technical support in case of any query.

I am not sure which course is right for me. How do I choose?

If you have confusion in choosing the right course for yourself, talk to our experts & get your doubts clear. Our career counsellors are available to help you, answer all your queries and clear your doubts.

Why should I enroll in the ACODS International Certification program?

This certification program is for you if you want to build your career in data science. By the completion of the program: 
You will be able to apply for jobs all over the globe with your ACOD global certification, and the ACODS team will assist you in being placed.
You will learn all of the skills and technologies utilized by data scientists throughout the world.
You will build one-of-a-kind real-world projects to create a great professional portfolio.
You will get 1-on-1 mentorship and guidance whenever needed.

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