Certified AI and Data Analytics Course Online

Program Overview

Each time you purchase a coffee, click on a link, or scroll through social media, you let off data. To survive, companies have to utilize this information. Now, businesses use AI to go through this data. This indicates the necessity for individuals skilled in SQL, spreadsheet cleanup, and effective dashboard creation. The program offered by AcceleratorX enables you to learn and get certified in these tools.

We designed this program to have a high degree of hands-on experience. To do work, not listen to passive lectures, you will spend your time. During the course, you will work with SQL queries along with visualization tools like Power BI or Tableau to create charts based on the data. You will also learn data cleaning techniques using Python. Google BigQuery will be among your warehouses. You will work on business projects with the help of industry mentors. You will receive feedback every week based on these projects. You will also get to compile a project portfolio that you can showcase to the recruiters.

What is AI Data Analytics?

Conventional analysis examines the past. You open a spreadsheet to see what happened in Q2. The task is sped up by AI data analysis. Rather than spend hours on a broken Excel formula or update dates manually, you now use AI tools which can write code and clean files in seconds. You will have ample time for the actual analysis. These numbers should be interpreted and utilized in making intelligent business decisions.

Data analysts are involved with a lot of things every day. They monitor users' behavior in an app to find out where they encounter issues and abandon it. They figure out which marketing ads attract paying customers. Based on data from previous years, they create forecasts for the month's sales. They find trends in spending that lend to credit card fraud. They established automated dashboards that enable teams to view their metrics.

Why Choose the AcceleratorX AI Data Analytics Course?

Many bootcamps focus on jargon and textbook theories. Real-life data is messy. Our course was designed around practical projects and weekly sessions with working analysts who carry out this work every day.

Program Outline

The program duration is six months. We begin with foundational aspects of data and complete cloud configurations and automated workflows.

Modules 1 & 2: Initiation to Data Analysis and SQL Databases

You must first locate and clean any data before you can analyze it. We begin with Excel methods like VLOOKUPs and pivot tables. Next, we move on to writing SQL queries. Get knowledge of MySQL and Google BigQuery.

What you will put into action:

• Remove clutter, common formatting, repeating rows and empty spare rows.
• Use SELECT queries and JOINs to extract the necessary numbers you require.
• Summarize data to get quick counts or averages using aggregation.
• Answer more complex business question types with window functions.

Modules 3 & 4: Statistical Foundations and Python for Data Science

Now let's get into the math. You will study probability, descriptive statistics and hypothesis testing. Your conclusion is less likely to be affected by a small sample size. After that, you will start writing Python code. We work with Jupyter Notebooks, Pandas, and NumPy to automate and clean datasets, including your weekly report.

Modules 5 & 6: Business Intelligence Systems and Product Analytics

Managers are not people with million-row tables at their disposal. They want something they can glance at quickly. Visual dashboards help with analyses. At this stage, we are going to create these dashboards using Power BI and Tableau.

In addition, product analytics will also be addressed in this session. We will learn techniques like cohort charts, funnel tracking, customer churning, and RFM segmentation. We can analyze the tools to understand the reasons for user retention or user abandonment of an app. Using these techniques, we can develop a good understanding of how our app is performing and what we can do to improve it.

Modules 7 & 8: Cloud Databases and AI Pipeline Automation

These two modules examine how contemporary corporations deal with scale problems. You will configure cloud warehouses with use of Snowflake and BigQuery. Transform raw tables using the dbt tool. In the end, you will learn how to take advantage of ChatGPT and GitHub Copilot to write SQL, debug errors in Python code and create autonomous automated data pipelines.

The Technology Stack You Will Work With

What You Will Be Able to Do

Career Opportunities and Pay Scales in India

Higher pay rates apply for upper management and professional level roles. Here is how much typical roles pay in India.

Preparing for a chat with recruiters? Refer to our Data Analytics Technical Interview Prep Guide.

Is This Course Suitable for You?

• Recent College GraduatesWanting to take to business intelligence or data roles without any background.
• Career TransitionersYou might work in marketing, operations, or financing. Desire to transition into a technical data position.
• DevelopersKeen on shifting attention to setup of analytics, dbt workflows, and formation of cloud.
• Beginners Without Coding BackgroundIf you are a beginner, we don't mind. We will cover the basics of Excel formatting and simple logic first and slowly upgrade to advanced tools like SQL and Python.

Frequently Asked Questions

What is this program?

This online bootcamp takes place over six months and will cover SQL, Python, Power BI, Tableau, cloud databases etc. Through this training, you'll learn to work with AI assistants, build a portfolio from actual datasets and get an IBM co-certification.

Is coding experience necessary to join?

It's not necessary to be an expert coder from the beginning. To start with, we focus on logical thinking and using the spreadsheet formulas in Excel. As you get more comfortable with spreadsheets and business math, we'll start to expose you to SQL and Python, one step at a time.

How do I select the best data analytics course in India?

Stay away from programs that teach only theory. The best courses only focus on building projects. You get weekly one-on-one mentorship, IBM co-certification, and resume and interview preparation assistance.

What starting salary can I expect in India?

For the freshers starting in analysis the typical salary is around ₹5 LPA. If you have good knowledge of SQL and can compile a very strong portfolio, you will certainly have the chance to move further up to the hierarchy of product analytics or analytics engineering. The salaries in these fields often rise above ₹15 LPA. Ultimately, it all boils down to showing what you are capable of making.

Will an IBM certificate guarantee my employment?

A recognized certificate will certainly attract attention from HR. When being considered for a job, the hiring manager is definitely going to want to see what you can do. That's why your portfolio is always looked at first. To instill confidence in employers regarding your technical skills, we get you to do 4 SQL and Power BI projects during the program. In this way, you will show solid proof to them about your potential.