Data Analytics Course - Certification by Prerogative

Get hands-on-experience in data analytics tools & skills with our data analytics course online.

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Data Analytics Online Course Overview

Throughout this training certification, you will delve into a wide range of topics that form the backbone of data analytics. From foundational concepts such as data collection, cleaning, and manipulation to advanced techniques including statistical analysis, predictive modeling, and data visualization, you will develop a comprehensive understanding of the entire data analytics lifecycle. By mastering these skills, you will be equipped to uncover meaningful patterns, make informed business decisions, and drive organizational growth through data-driven insights. This data analytics course online will empower learners with the practical knowledge and tools necessary to excel in the dynamic field of data analytics.

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What are the topics covered in this best Data Analytics Course?

1. SQL
2. Python Programming
3. Statistics for Data Science
4. Machine Learning
5. Microsoft Excel
6. Tableau
7. Visualization using Graphs
8. Introsuction of Big Data
9. Capstone Project

Why choose Prerogative’s Data Analytics Certification?

Our Data Analytics Course is a pivotal step in advancing your professional career. In today's data-driven world, the ability to extract actionable insights from vast amounts of information has become a prerogative for success across industries. This comprehensive course is designed to equip you with the essential skills and knowledge required to navigate the complexities of data analysis, visualization, and interpretation. By enrolling in this training in data science, you will gain a competitive edge in the job market and empower yourself to make data-driven decisions that drive tangible results for your organization.

Industry-recognized Data Scientist Certificate
Pick project & Synopsis of your choice
Practice Test, Assignments & Quizzes
Online/Offline doubts & project support
24*7 Access to Assistance - Active Support Team
Live-sessions while working with projects

Projects Included

Market Basket Analysis
Insurance Pricing Forecast
City Employee Salary Data Analysis
Topic Modelling using K-means clustering
Churn Prediction in Telecom
Identifying Product Bundles from Sales Data

Who should attend the Prerogative’s Data Analytics Certification?

Professionals in the field of data science

Professionals working with large datasets

Data analysts, economists, researchers

$46.00 $76.00

39% off

55% Average Salary Hike
45 LPA The Highest Salary
1000+ Career Transitions
500+ Hiring Partners

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Curriculum Designed by Experts

SQL Basics

Advanced SQL

Deep Dive into User Defined Functions

SQL Optimization and Performance

Introduction to Python and IDEs

Python Basics

Object Oriented Programming

Hands-on Sessions and Assignments for Practice

Extract Transform Load

Data Handling with NumPy

Data Manipulation Using Pandas

Data Preprocessing

Data Visualization

Descriptive Statistics

Probability

inferential Statistics

Introduction to Machine Learning

Regression

Excel Fundamentals

Excel For Data Analytics

Data Visualization with Excel

Excel Power Tools

Classification Problems using Excel

Information Measure in Excel

Regression Problems using Excel

Tabelua Basics

Data Filtering using Tabelua

Data Visualization with Analytics

Python Library - Matplotlib

Create Your Plot using Matplotlib

Optimizating Adwords Data in Google Analytics

Data Visualization with Seaborn

Distribution, Catehorical, Matrix and Regression Plots

What is Big Data?

Introduction to Hadoop

Hadoop Distributed File System (HDFS)

Spark Basics

Working with RDDs in Spark

Aggregating Data with Pair RDDs

Spark SQL and Data Frames

The Data Analytics Capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights form data analysis perspective.

Extracting, loading and transforming data into usable format to gather insights.

Data Maniputaion and handling to pre-process the data

Feature Engineering and scaling the data for various problem statements.

Model Selection and model building on regression problems using supervised/unsupervised machine learning algorithms.

Assessment and monitoring of the model created using the machine learning models.

Key Takeaways

Real Time Project use cases

Hands-on experience and exposure to applications

Digital Badges

You can earn worldwide recognized digital badges

1:1 Sessions with Experts

You can request One-on-One Sessions with Industry Experts

Industry Oriented Curriculum

Exposure to Real-World Situations through Live-Projects

Adaptable Timetables

Flexibility and Convenience to Learners in class-timing

Highly Educated Mentors

Qualified Mentors with Real Industry Experience

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Drop us Query

Meet Your Mentors

Instructor-Led Data Analytics Certification Course

Flexible Batches Available!

Offline Data Analytics Certification Course provides a personalized learning experience through in-person contact with instructors and peers.

Flexible Schedule
Live instructor-led training (LILT) classes.
Visit to our Campus
No Recorded Sessions

Popular Choice

This online Data Analytics Certification Course Course offers flexibility by allowing you to learn at your own pace from anywhere.

Flexible Schedule
Virtual instructor-led training (VILT) classes.
Access from Anywhere
Recorded Sessions

In-campus training offers high-quality training programs for school and college students looking to improve their skills.

Fixed Schedule
Live instructor-led training (LILT) classes.
Training in your institute Campus
No Recorded Sessions

How to Enroll?

You don't have to struggle alone, you've got our assistance and help.

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Schedule a Q&A call with Admissions to get quick answers about the bootcamp.

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Ready to join? Submit your application and pick your start date to join.

Wait for Confirmation

Meet an Admission Advisor to make sure you’re ready for the challenges of the program. An acceptance decision will be made within 2-3 business days.

Deposit to Enroll

If accepted, submit your deposit to officially save your seat and gain access to bootcamp-prep materials for your start date.

Data Analytics Course FAQ's

Anyone who is currently enrolled in a relevant degree programme or a recent graduate who has completed or is pursuing a degree is eligible to enroll in our data analytics course online. Any working professional who wishes to move domains or just upskill can pursue this.

The future of data analytics is really promising. As more businesses recognise the importance of data-driven decision-making, the demand for skilled data analysts will increase. Post obtaining this data analytics certification from Prerogative, you can also get job assistance to kickstart your career in this industry.

Our Data Analytics Course provides you with both options for learning. You can choose between offline and online lessons based on your needs.

Yes, we do offer job help to our students. This data analytics course with placement is led by industry-experts having more than 10 years of experience. You will be able to crack major company interviews with the aid of the greatest study material and trainers from various reputable MNCs.

Yes, post completion of the training program, we deliver an industry recognized Data Analytics certificate that can be used to demonstrate your Data Analytics skills and knowledge.

The yearly compensation of a data analytics professional in India ranges from INR 4-5 lakhs for entry-level analysts to INR 20+ lakhs for senior-level analysts and data scientists.

A career in data analytics provides several employment prospects, including data analyst, business analyst, data scientist, data engineer, and data architect. Furthermore, data analytics specialists may work in a number of industries, including banking, healthcare, marketing, and e-commerce, among others, providing a varied range of job opportunities.

Yes, data analytics can be applied to non-technical fields. It can help in areas such as healthcare, marketing, finance, human resources, retail, and education by providing valuable insights, optimizing processes, and enabling data-driven decision-making.

Data analytics focuses on examining and interpreting data to uncover patterns, trends, and insights that can drive business decisions. It involves working with structured and sometimes semi-structured data.

On the other hand, data science is a broader field that encompasses data analytics but also includes more advanced techniques such as machine learning, artificial intelligence, and predictive modeling. Data scientists often work with unstructured and complex data to solve complex problems and develop innovative solutions.