A Beginner’s Guide to Data Analytics: Getting Started
Welcome to the exciting world of data analytics! Whether you are a curious individual looking to explore a new field or a professional seeking to enhance your skill set, this beginner’s guide will provide you with the essential information to get started on your data analytics journey. Data analytics is the process of examining large amounts of data to uncover patterns, correlations, and other insights. It can be used to help businesses make better decisions, improve customer experiences, and even predict future trends.
Why do industries need Data Analysts?
Data analytics is a rapidly growing field that leverages the power of data to gain insights and make informed decisions. In today’s data-driven world, organizations across industries are looking for professionals who can extract valuable information from vast amounts of data. From healthcare to finance, retail to marketing, data analytics plays a crucial role in optimizing business strategies, improving operational efficiency, and enabling data-driven decision-making.
Understanding Data Analytics and Data Science
Before diving into the specifics of data analytics, it’s important to clearly understand the broader field of data science. Data science encompasses various disciplines, including data analytics, machine learning, and data visualization, to name a few. Data analytics focuses on analyzing and interpreting structured and unstructured data to uncover patterns, trends, and insights.
Right Way To Enter Into The Field Of Data Analytics
There are two ways to enter the field of data analytics. One option is to self-learn the necessary skills, but this requires a significant time investment. The other option is to find a good mentor to guide you through the process.
To become a proficient data analyst, you need a combination of three key components. Firstly, strong mathematical and statistical skills are essential to analyze numbers and derive insights, such as calculating average sales, profit margins, and growth rates. Secondly, proficiency in computer science is crucial, including coding languages like SQL and Python, which are used for data manipulation and analysis. Lastly, having business knowledge is vital. Understanding business operations and objectives enables effective problem-solving, a critical skill in data analysis.
If you lack an understanding of the business context, solving analytical problems becomes challenging. Therefore, mastering all three aspects—mathematics and statistics, computer science, and business knowledge—is essential for success in the field of data analytics.
Everyone is teaching you basic coding, math, and statistics but no one is teaching The Art Of Problem-Solving. Even ChatGPT can do math, coding, and stats, but what makes humans different from a bot is the skillset of PROBLEM SOLVING that’s why Analytics Shiksha was created.
How we are filling this gap?
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The great news is that to make it AFFORDABLE for everyone – we’re offering the lowest fees in the industry. But here’s the catch: we will be selecting ONLY 30 STUDENTS irrespective of any educational background. We’re looking for dedicated students who we can fully support with our time and guidance to make them the top 1% in the industry.
Why SUPER30?
✅ Learn THE ART OF PROBLEM SOLVING
✅ Daily Live Doubt Solving Sessions
✅ Featuring ChatGPT Module
✅ 10+ Real World Industry Projects
✅ 30+ graded assignments
✅ 1:1 mock Interview Preparation
✅ 100% Job Assistance
✅ Company Tie-up Interview
✅ Large network of HR’s
How to apply?
Step 1 – visit our website click on check your eligibility button and take our quick and entirely FREE 10-minute ELIGIBILITY TEST. This test will help us to evaluate whether you are the right fit for #SUPER30.
step2. watch the exclusive masterclass video provided below to gain a clear understanding of how this program can make you top 1%
Step 3 Book a 1:1 screening with your mentor and co-founder to have your profile checked for the Super30 Data Analytics Program.
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