Data Science Course
5 in 1

Uncover the power of data with our comprehensive Data Science courses. From foundational concepts to advanced machine learning techniques, our expert instructors guide you through hands-on projects and real-world applications. Gain proficiency in data analysis, statistical modelling, and data visualization, and transform data into actionable insights.

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Created by MuhammadAli A Darvesh

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Muhammad Ali Darvesh is a highly accomplished Data Scientist
with expertise in Robotics proficiency in multiple programming
languages, including C, C++, Python, and R. His journey in the
field of data science has been marked by a passion for unraveling
the intricacies of data and a dedication to using it to drive positive
change.

42.5 hours on-demand video

5 Coding Exercises

Full Lifetime Access

What you'll Learn

Fundamentals of Data Science: Acquire foundational knowledge in data science's core concepts, principles, and methodologies.

Model Evaluation and Selection: Assess and compare machine learning model performance to choose the most suitable one.

Exploratory Data Analysis (EDA): Discover data exploration, visualization, uncovering patterns, and insights for informed decisions.

Data Visualization: Master data visualization tools and techniques to effectively communicate data insights to stakeholders.

Big Data and Tools: Familiarize with big data analysis tools like Hadoop, Spark, and NoSQL databases.

Real-World Applications: Apply data science skills to practical problems and gain experience in various domains.

Advanced Analytics: Delve into advanced analytics techniques, including deep learning, time series, and predictive modeling.

Statistical Analysis: Develop skills in statistical analysis for drawing meaningful conclusions and data-driven decision-making.

Machine Learning: Explore machine learning, encompassing algorithms for classification, regression, clustering, and more.

Feature Engineering: Learn feature selection, transformation, and engineering to enhance machine learning model performance.

Our Alumni Works At

D

ata visualisation is essential in business analytics, turning raw data into actionable insights.

Effective visualisation empowers businesses to make informed choices and optimise strategies.

M

achine learning and deep learning are subsets of artificial intelligence. Machine learning

encompasses a variety of algorithms that enable systems to learn from data and make predictions.

D

eep learning, a subset of machine learning, empowers data scientists to solve complex

problems. Mastering deep learning is crucial for career growth in the field of Data Science.

S

tatistics is pivotal in machine learning, underpinning data understanding, model selection,

and evaluation. It aids in feature engineering. A strong statistical foundation is crucial for data scientists.

L

LM (Language Model) is the technology behind ChatGPT. LLM uses deep learning to understand

and generate human-like text. ChatGPT, powered by LLM offers natural language understanding and generation abilities.

T

o earn Kaggle medals, meticulously document your machine learning process. Create clear, organised

notebooks with explanations for each step. Highlight insights, and challenges making it easy for others to understand.

Skills Covered

Tools & Technologies

Python

Why choose us?

Project Recognition with Kaggle

Hands on Projects

Become Experts in R & Python

Lifetime E-Learning Access

Industry Based Course Curriculum

100% Placement Assistance

Dedicated 24/7 Support Team

Experienced Faculty from IIT, IIM

Happy clients

John Bjerrand

Don't just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.

Anna Claudio