Data Analytics Program - Definition, Uses, Examples, And More

Are you looking for a data analytics program with certification that helps you build your career in data analysis? Then wander no more as PW Skills is offering a Data Analytics online upskilling program for beginners as well as big data professionals.

Advance your career in data analytics with a specialized 6 months learning data analytics program. In this article, let us learn more about the PW Skills Data Analytics program.

Table of Contents

Definition of Data Analytics

Data Analytics is a systematic approach to transform raw data into valuable and useful insights to help businesses make more informed decisions based on data.

Definition of a Data Analytics Program?

The Data Analytics Program is a structured training curriculum designed to learn about the principles, tools and techniques for analyzing and interpreting data. These programs generally cover important areas of data analysis such as data visualization, data analysis, data wrangling, statistical analysis, programming, machine learning, business intelligence, etc.

PW Skills Data Analytics Program Online

Advance your career in Data Analytics with PW Skills 6 months Data Analytics Program in online mode. Master advanced data analytics tools and techniques with specialized in-depth tutorials, hands-on training available within the course modules.

Practice the concepts you learned within the course with module level assignments and practice exercises throughout the course. Learn through industry-led live sessions and pre-recorded tutorials within the data analytics program. Become a certified, full time data analytics professional with the PW Skills Data Analytics Certification Course. Get high-paying job roles after completing this data analytics program.

PW Skills Data Analytics Program Overview

Check the complete highlight of the data analytics program offered on the PW Skills platform.

Data Analyst Online Certification Program
Name of the Course	Data Analyst Course with Certification
Provided by	PW Skills
Specialization	Job Assistance Program
Duration	6 Months
Learning	200+ Hours
Practical Experience	5+ Industry Relevant Projects
Learning Mode	Blended Mode (Live + Recorded)
Tools Covered	Numpy, Pandas, Data Visualization, Machine Learning models, etc
Average Salary Hike	60-70%
Certifications	Yes
Job Exposure	Yes

Why Is PW Skills Data Analytics Course Better than Other Free Data Analytics Program?

Many perks are offered within the Data Analytics Program under PW Skills. These perks and benefits are not generally found in any other courses. Let us find some of the best highlights of this course compared to other courses.

Perks	Data Analytics Program by PW Skills	Data Analytics Courses on Other Platforms
Self Paced	Live + Recorded Tutorials	Limited Options with only recorded tutorials
Duration	Lifetime Free with only a single time purchase	Renewed periodically
Job Ready Profile	Learn from Scratch✅	Not Supported ❌
Soft Skills Training	Available✅	Not Available ❌
Certification	Free with Course	Paid Exclusively
Practice Exercises	100+ Questions in every module	Limited Sets of Questions
Real World Projects	Over 4+ Industry relevant projects based on Data Analytics + AWS	No Real World Projects
In-depth Python Frameworks	All Python Libraries and Machine Learning frameworks and Tools Included	Limited Tutorials
Practice Exercises	Yes	No
Module level assignments	Available	Not Available

Benefits of PW Skills Data Analytics Program

Some of the major benefits of the PW Skills Online data analytics program are mentioned below.

1. One to One Doubt Support

Throughout your data and analytics course program, receive seamless support from our Subject Matter Experts (SMEs), who are available around-the-clock to answer your questions and offer solutions.

2. Industry Relevant Projects

Learn data analytics by working on projects led by the industry. Get priceless practical experience under the guidance of seasoned professionals, guaranteeing that your skills will be applicable in the real world.

3. Experience Portal

Make the most of your potential by using our experience portal. Showcase your data analyst skills and abilities.

4. Practice Exercise

Take part in our immersive practice exercises to improve your comprehension and quickly grasp concepts.

5. Profile Building Session

Join our sessions to showcase your expertise, with a special emphasis on creating a compelling LinkedIn profile and portfolio. Transform your abilities into opportunities effortlessly.

6. Resume Building Session

Unlock your career potential with our exclusive sessions to craft role-specific resumes tailored to beat Applicant tracking systems (ATS). Get noticed and land your dream job seamlessly!’

Tools Covered in Data Analytics Program by PW Skills

Check some of the important tools and frameworks covered within the data analytics program mentioned below.

Python Programming

Learn the basics of Python Programming with Python libraries and frameworks within this data analytics program. Master libraries like NumPy, Pandas, Data Visualizations, Matplotlib, etc.

MySQL

Master Database management and storage within the Data analytics program. Learn SQL-based query management and No SQL-based database management techniques.

AWS by Amazon

Leverage the power of AWS platforms and master effective deployment and data analytics solutions.

Power BI

Learn Power BI and Data visualization for uses in business intelligence purposes. Extract data from various sources and produce actionable insights with effective techniques.

Jupyter

Practice real world projects and hands on training on the Jupyter platform. Implement effective data analytics solution on the Jupyter compiler.

Excel

Learn to implement and master effective Excel Formulas within the data analytics programs.

Uses of Data Analytics Program

Some of the important uses of data analytics programs are mentioned below.

- Improving Decision-Making: It helps individuals and organizations make data-driven decisions by extracting actionable insights from raw data.
- Problem-Solving: The techniques to identify patterns, trends, and anomalies in datasets, enabling solutions to business and operational challenges.
- Forecasting: Use predictive analytics to anticipate future trends and prepare strategies accordingly.
- Enhancing Productivity: Streamlines workflows by automating processes and analyzing efficiency metrics.
- Career Advancement: Equips learners with in-demand skills for roles like Data Analyst, Data Scientist, Business Analyst, etc.

Key Topics Covered in Data Analytics Program

Some of the important topics covered in the data analytics program are mentioned below.

Fundamentals of Data Analytics: Basic concepts, data types, and the data analytics process.
Statistical Analysis: Techniques like hypothesis testing, regression analysis, and probability.
Programming Skills: Use of languages such as Python, R, or SQL for data manipulation and analysis.
Data Visualization: Tools like Tableau, Power BI, and matplotlib to create clear visual representations of data.
Big Data and Cloud Computing: Introduction to handling large datasets using Hadoop, Spark, or AWS.
Machine Learning Basics: Applications of algorithms to build predictive models.
Python Libraries Fundamentals: Numpy, Scikit Learn, Pandas, etc.

Data Analytics Program Course Outline

Check our Career-centric Data Analyst classes syllabus in the table below.

Data Analytics Program Course Outline
Category	Topics
Python	Python Basics Basics Data Structure & OOPs concept Advanced Python (handling errors, exceptions, logging, module creation)
Databases and Web API	MySQL (SQL) & MongoDB(No-SQL) Creating API connections using Python Basic understanding of Web application architecture
Statistics	Basics and Advanced Statistics Statistical Concepts in Data Science Feature Engineering Exploratory Data Analysis
Machine Learning	Regression Models Support Vector Machines (SVM) Clustering Algorithms Decision Trees and Ensemble Techniques Bagging and Boosting Techniques Time Series Data Analysis
Project	Building ML models and deploying on the cloud (Spam detection, Climate Visibility)
SQL	Basics of SQL Loading data and creating tables Keys (primary key, foreign key) Functions, joins, and subqueries Advanced SQL (Windows Functions, CTE Query, Data modelling)
Excel & Power BI	Excel Basics and Functions Data Cleaning, Validation & Visualization Introduction to Power BI Visualization in Power BI DAX Functions Advanced Power BI (Connectivity, Report creation, Architecture)
AWS	Collecting, Storing, Processing, Analyzing, and Visualizing Data on AWS Securing Data Analytics Pipelines on AWS
Project Management	Lifecycle of a project Project management frameworks (e.g., CRISP-DM, Agle, Scrum, etc )

Build Real World Projects in Data Analytics Program

Get your hands on innovative and industry relevant projects related to Data analyst solutions. Develop innovative and effective data analyst solutions using Python libraries, machine learning algorithms, and more.

Project 1: Work on Census data of the US to analyze the factors that influence the living standards of people in the USA
Project 2: Work on airport Data to analyse flight data and identify the factors that can optimise the operations.
Project 3: Work on Airline data to get data for creating ET and analyze all in AWS
Project 4: Working on a superstore dataset to analyse and create insightful dashboard that can help your business grow

Work on plenty of more real-world capstone projects within this data analytics program and build industry-ready skills.

Data Analytics Program FAQ

Q1. What is the PW Skills Data Analytics Program?

Ans: PW Skills is offering 6 months data analytics program to help you master effective data analytics skills. Become familiar with important data analysis tools and work on real world case projects. Become a certified data analyst with PW Skills Data analytics program.

Q2. What is the duration of the PW Skills Data Analytics Program?

Ans: The duration of the PW Skills Data analytics program is 6 months with industry led live sessions and pre-recorded tutorials within the course curriculum.

Q3. What are the tools covered in the Data Analytics Program?

Ans: There are many effective data analytics tools and frameworks covered within the program such as Python, MySQL, Power BI, Excel, Statistics, Machine Learning, and More.

Q4. Is the PW Skills Data Analytics program career friendly?

Ans: The PW Skills Data Analytics program provides interview opportunities and opens a wide range of career opportunities. Become a certified data analytics expert after completing the data analytics program in only 6 months.