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Data Science is a multidisciplinary mixture of algorithm development, data interference, and technology to solve analytically complex problems. It is the field of study combining programming skills, domain expertise, statistics knowledge to extract meaningful insights from data. For skilled professionals, data science is the most promising and in-demand career path. So, accelerate your career by attending our latest range of Data Science Courses.
Data Science is a detailed study of the flow of information from the huge amounts of data present in the repository of an organisation. It includes obtaining meaningful insights from raw and unstructured data processed through programming, analytical, and business skills. Data science is a multidisciplinary field and encompasses a wide range of topics.
At The Knowledge Academy, we offer a wide range of Data Science courses including, Knime analytics platform, predictive analytics, pandas, Keras, and Text mining, GCP Data Engineer, probability and statistics for data science, and Python data science. All of these courses will enable candidates to understand the necessary programming, statistics, and data science concepts. Our carefully-curated content will teach you how to apply data science ideas to solve complex problems.
As data science is one of the fastest-growing fields in tech, getting trained in the field of data science will boost your professional career to the next level. Our easy to learn and proper hierarchical syllabus will ensure delegates learn how to create arrays from Python lists and create structured arrays. Designed and taught by top instructors, our Data Science courses will equip delegates with the skills required to be a professional in the field of Data Science.
Now, enrol into our Data Science Training Courses provided by the leading training providers The Knowledge Academy.
Introduction to Knime Analytics Platform
Knime Analytics Platform is an open-source software to create data science applications and services. It allows you to create visual workflows with an intuitive, drag and drop style graphical interface without any coding.
This training course will teach delegates how to install and update the Knime Analytics Platform and extensions. Delegates will hone the knowledge of Knime workbench and Knime tables. In addition, they will learn how to create new Knime extension project. By the end of this training, delegates shall be able to set the Knime SDK and deploy extension.
GCP Data Engineer
This GCP (Google Cloud Platform) Data Engineer Training is designed to provide knowledge on the Google cloud platform. Delegates will learn how to create, manage, scale, and delete clusters as well as will get a strong understanding of Google’s machine learning API’s and use cases. They will become familiarised with the concept of BigQuery, Beam programming model, and Machine learning.
This course focuses on how to handle variable data volumes and deal with unordered/late data. Delegates will acquire knowledge of Cloud Pub/Sub and will learn how to implement streaming pipelines. Post completion of this training course, delegates will be able to query stream data with BigQuery and design Bigtable schema.
Keras is an open-source neural network library written in Python and capable of running on top of CNTK, TensorFlow, or Theano. Developed to enable fast experimentation, Keras is extensively used by data scientists to architect the neural network for complex problems. Keras also compiles model with loss and optimiser functions, training process with fit function.
This 1-day course provides knowledge about Keras and the usage of Keras. Delegates will become familiarised with different Keras layers such as core layers, convolutional layers, pooling layers, locally-connected layers, recurrent layers, etc. In addition, delegates will learn how to perform sequence, text, and image preprocessing. Before completion of this training, delegates will be able to use regularisers and constraints.
Python Data Science
Python is a powerful open-source language that has powerful libraries for data manipulation and analysis. It is a multi-paradigm programming language and supports object-oriented programming, functional programming patterns, and structured programming.
This course is designed to equip delegates with the knowledge of how to create arrays from scratch and python lists. Delegates will get an understanding of simple line plots and simple scatter plots. On completion of this training, delegates will be able to customise plot legends and colorbars as well as matplotlib.
Text Mining Training
Text Mining Training course is designed to provide a comprehensive knowledge of text mining operations and preprocessing techniques. Delegates will learn about significant algorithms to perform text categorisation. In addition, they will learn how to use unlabelled data and evaluate text classifiers.
This 2-day training will equip delegates with the knowledge of clustering and Information Extraction (IE). Delegates will learn how to access constraints and simple specification filters at the presentation layer. On completion of this training, delegates will be able to use MEMM for Information Extraction.
Predictive Analytics Training
Predictive Analytics is used to make predictions regarding unknown future events. It enables organisations to become forward-looking and proactive, predicting outcomes and behaviours based on the data.
This Predictive Analytics Training course will provide delegates with the knowledge of predictive analytics and its processing steps. Delegates will become familiarised with cleaning and feature creation as well as with the various predictive modelling techniques including logistic regression, k-nearest neighbour, Naïve Bayes, and more.
Probability and Statistics for Data Science
The Knowledge Academy’s Probability and Statistics for Data Science training is crafted to provide knowledge about the complicated probabilistic concepts. This course will take your career to the next level, which is of probability, Bayesian probability, conditional probability, and probability distributions.
During this 2-day course, delegates will learn about discrete and continuous random variables. Delegates will get an understanding of how to generate multivariate random variables. They will become familiarised with parametric and nonparametric testing.
pandas: A Python Data Analysis Toolkit
Pandas is an open-source python library providing high-performance, data analysis and data structures tool for the Python programming language. This course is designed to provide knowledge of how to quickly and easily analyse data with Python’s powerful library- pandas.
During this course, delegates will learn how to work with text data, missing data, and categorical data. In addition, they will learn how to store pandas DataFrame objects in Apache Parquet format. Post completion of this training, delegates will get an understanding of various themes in pandas.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."
Diane Gray, Shell