Data Analytics for Professionals

Data Analytics for Professionals

Data Analytics for Professionals Training

Introduction
In today's data-driven world, businesses generate huge amounts of information every day. Effective data analytics helps uncover valuable insights, identify patterns, and make informed decisions. This leads to improved operations, better customer experiences, and targeted marketing strategies. According to Forbes, 73% of businesses recognize the significant impact of data analytics on their overall performance and competitiveness.

Scope of Course

This expert-led training provides a comprehensive exploration of data analytics, encompassing essential and advanced concepts. Participants will learn to apply various techniques and master programming languages like Python, SQL, Excel, and Tableau to transform data into actionable information. Real-world projects will enhance problem-solving abilities tailored to specific industries.


The topics covered include:

Data Analytics Overview
Statistics Overview
Python for Data Analytics
Data Analytics with Excel
Essentials of SQL
Data Visualization using Tableau
Program Highlights
Program Highlights
Imparts key knowledge and skills involving

Exploring different types of data
Applications of Statistics
Exploratory Data Analysis
Data Visualization with Excel
Essentials of SQL
Connecting Data to Tableau
Interactive Dashboards
Data Blending

Career Prospects / Job Roles
The career prospects for data analytics professionals are highly promising. With the increasing importance of data-driven decision-making across industries, there is a growing demand for skilled analysts. Data analytics professionals can find opportunities in various sectors like finance, healthcare, marketing, and technology. As organisations continue to invest in data-driven strategies, the demand for data analytics professionals will only continue to grow in the future. Data Analytics professionals are hired as:

Data Scientists
Business Analyst
Data Engineer
Data Architect

Ideal For
Statistics, mathematics, and IT / computer science students
Students studying in science, technology, engineering, and mathematics (STEM) fields
IT professionals who need to use data analytics
Job seekers and working professionals looking to gain competitive advantage
Suitable for learners with or without computer science background