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Most Demanded Job Roles in Data Field

Increase in the Demand of Data Scientists in 2022

47.1%

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Increase in the Demand of Data Analysts in 2022

27.9%

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Increase in the Demand of AI and Machine Learning in 2022

40%

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Data Science Course Overview

Data Science refers to the process of extracting valuable information from various structured or unstructured data, e.g., data mining. Data Science aims to explore, sort, and analyse metadata from a variety of sources and use them to draw conclusions, optimise business processes, and support decision-making. Our industry experts have developed the Advanced Data Science Certification to help individuals know how Data Science works and how it plays an important role in Artificial Intelligence (AI). Our experienced trainer will conduct interactive training sessions to help learners become successful Data Scientists and improve their ability to analyse business data to extract meaningful insights.

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Advanced Data Science Certification

All Delivery Methods Available: Yes

Modules of Data Science Certification

Data Science is a multidisciplinary mixture of algorithm development, data interference, and technology to solve analytically complex problems. For building programming knowledge and analytical skills with Data Science course, you should learn the below topics:

Module Module Module Module Module Module Module

Python for Data Analysis - NumPy

  • Introduction to NumPy
  • NumPy Arrays
  • Aggregations
  • Computation on Arrays: Broadcasting
  • Fancy Indexing
  • Sorting Arrays
  • NumPy’s Structured Arrays

Python for Data Analysis – Pandas

  • Installing Pandas
  • Pandas Objects
  • Data Indexing and Selection
  • Operating on Data in Pandas
  • Handling Missing Data
  • Hierarchical Indexing
  • Concat and Append
  • Merge and Join
  • Aggregations and Grouping
  • Pivot Tables
  • Vectorised String Operations
  • Working with Time Series

Python for Data Visualisation – Matplotlib

  • Overview
  • Object-Oriented Interface
  • Two Interfaces
  • Simple Line Plots and Scatter Plots
  • Visualising Errors
  • Contour Plots
  • Histograms, Binnings, and Density
  • Customising Plot Legends
  • Customising Colour Bars
  • Multiple Subplots
  • Text Annotation
  • Three-Dimensional Plotting

Python for Data Visualisation – Seaborn

  • Installing Seaborn and Load Dataset
  • Plot the Distribution
  • Regression Analysis
  • Basic Aesthetic Themes and Styles
  • Distinguish between Scatter Plots, Hexbin Plots, and KDE Plots
  • Use Boxplots and Violin Plots

Machine Learning

  • Introduction
  • Importance
  • Types
  • Working
  • Machine Learning Mathematics

Natural Language Processing

  • Introduction
  • NLP Example
  • Advantages
  • NLP Applications

Deep Learning

  • Introduction
  • Importance
  • Working
Module Module Module Module Module Module

Big Data

  • Big Data Analytics
  • State of Practice in Analytics
  • Main Roles for New Big Data Ecosystem
  • Phases of Data Analytics Lifecycle0

Working with Data in R

  • Data Manipulation in R
  • Data Clean Up
  • Reading and Exporting Data
  • Importing Data
  • Charts and Graphs

Regression in R

  • Regression Analysis
  • Linear Regression
  • Logistic Regression
  • Multiple Regression
  • Normal Distribution
  • Binomial Distribution

Modelling Data in Power BI

  • Power BI Data Model
  • What are the Relationships?
  • Viewing Relationships
  • Creating Relationships
  • Cardinality

Shaping and Combining Data Using Power BI

  • Query Editor
  • Shaping Data and Applied Steps
  • Advanced Editor
  • Formatting Data
  • Transforming Data
  • Combining Data

Interactive Data Visualisations

  • Page Layout and Formatting
  • Multiple Visualisation
  • Creating Charts
  • Using Geographic Data
  • Histograms

Capstone Projects

For skilled and highly experienced professionals, Data Science is the most promising and in-demand career path. So, accelerate your career by attending our Advanced Data Science Certification. Have a look at the capstone projects included:

  • Visualise Retrieve, Process, and Visualise Data with Python and R
  • sectors Machine Learning Applications in Different Sectors
  • analysis Product-Sales Analysis using Power BI
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Delivery Methods

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Classroom Training

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Online Instructor-Led Training

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Online Self-Paced Training

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Onsite Training

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Essential Data Science Skills

A Data Scientist is a professional responsible for gathering, analysing, and interpreting massive amount of data. The skill set of a data scientist is a combination of computer science, statistics, and mathematics. They analyse, process, and model data before analysing the collected data to develop actionable plans for businesses and other organisations. Data Scientists work with different functional teams to implement models and monitor results. However, technical abilities are not the only consideration. They are frequently found in business settings, where they are responsible for communicating complex ideas and making data-driven organisational decisions. As a result, they must be effective communicators, leaders, team members, and high-level analytical thinkers.

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How Data Science Works?

Data Science is the field that deals with huge amounts of data using modern techniques in order to identify and uncover insights, extract meaningful information, and make better business decisions. Data for analysis comes from various resources and is presented in different formats and works in five distinctive stages, each of which has its own tasks, such as:

  • Capture- Data Entry, Data Acquisition, and Data Extraction
  • Maintain- Data Cleansing, Data Warehousing, and Data Processing
  • Process- Clustering, Data Mining, Data Summarisation and Modelling
  • Analyse- Predictive Analysis, Regression, and Qualitative Analysis
  • Communicate- Data Visualisation, Business Intelligence, and Decision Making
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Data Science Process

Data Science is a systematic process that data scientists use to analyse, visualise, model, and transform enormous volumes of data into actionable insights in a methodical way. Below given is the process of Data Science:

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Business Understanding

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Data Understanding

preparation

Data Preparation

building

Model Building

evaluating

Evaluating Model

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Model Deployment

Reasons to Count on Us

We help you quench your thirst for knowledge by providing you with our specially tailored certifications. Our highly qualified instructors, dedicated staff, and 24/7 available helpline are the main reasons why we're the go-to training provider for you.

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Best Price Guarantee

You won't find better value in the marketplace. If you find a lower price, send us the offer, and we'll beat it.

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Guaranteed to Run

Our training courses are 100% guaranteed to run on dates provided, whether they are classroom, virtual, or in-house.

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Highly Experienced Staff

Our support staff and instructors have years of experience in meeting the specific needs of our clients and delivering exceptional quality.

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What Roles can be played after attending Data Science and Artificial Intelligence Training?

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Data Scientist

data-engineer

Data Engineer and Data Analyst

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Al Engineer and Scientist

analyst

Analytics and Insights Analyst

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Applied Scientist

Junior-scientist

Junior Data Scientist

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AI and ML Engineer

Difference Between Data Science and Data Analytics

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Frequently Asked Questions

What is data visualisation in Data Science?

In Data Science, data visualisation is a graphical description of data and information. With the help of graphs and charts (visual components), data visualisation tools give a convenient method to view and follow trends, data patterns and outliers.

What is the data wrangling process?

The process of selecting, gathering, and transforming data to answer an analytic question is known as data wrangling, and it is also known as data cleaning or munging.

What skills are needed to be a Data Scientist professional?

Statistics, programming language, data extraction, data wrangling and exploration, machine learning algorithms, data visualisation and many more are the skills needed to become a Data Scientist professional.

What will I learn in this Data Science training?

During the Data Science training, you will learn various concepts such as how data science works, difference between data science and data analytics, essential data science skills, including capstones etc.

Can you customise training material according to our company requirements?

Yes, we have subject matter experts who will work according to your company requirements.

Do You Have Any Query?

Not fully sure which is the right course for you? Or want to make sure that you choose the right course? Just Contact Us. We are always here to assist our prospective learners and clients.