Data Analyst Bootcamp with AI Training

Unlock your potential with the Data Analyst Bootcamp with AI! Gain real-world experience through hands-on exercises, assessments, and projects that showcase your expertise and prepare you for career success.

  • Earn an average salary of $70,000 annually

Price : 6000 USD $2,999

Live Instructor – Data Analyst Bootcamp with AI Training

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Introduction to Data Analyst Bootcamp with AI Training

Strategism is thrilled to introduce the next generation of our Data Analyst Bootcamp: the all-new Data Analyst Bootcamp with AI. This upgraded program is designed to help you stay ahead by integrating cutting-edge AI techniques into your data analysis journey. Whether you’re aspiring to become a skilled Data Analyst, start a data-driven business, or thrive as a freelance expert, this bootcamp is the ideal stepping stone to achieve your goals.

This enhanced program goes beyond conventional data analysis, empowering you to harness the power of AI for deeper insights and impactful outcomes. Alongside our already robust curriculum, you’ll gain complimentary access to the AI Engineer Bootcamp, which includes 288 hours of e-learning, over 130 hands-on exercises, 9 capstone projects, and 15 real-world case studies.

Delve into the core concepts of Machine Learning and learn how algorithms can analyze data and make accurate predictions. Additionally, master text data analysis, an essential skill in today’s AI-driven world.

The curriculum builds upon strong foundations in data analysis, starting with essential mathematical and statistical principles. You’ll learn data wrangling with industry-standard tools like Excel and SQL, enabling you to manage, analyze, visualize, and present data with confidence.

The Strategism Data Analyst Bootcamp with AI is designed to set you up for success. You’ll gain hands-on experience through practical exercises, regular assessments, and projects that showcase your expertise. Our program also includes comprehensive career support with personalized mentorship, guidance, and certification to help you secure your dream role in data analysis.

Join us for the Data Analyst Bootcamp with AI and become a highly sought-after professional, equipped with the expertise to unlock the power of AI in data analytics.

Why Should You Go For The Data Analyst Bootcamp

Across industries, decision-makers rely on actionable insights derived from real-world data to guide critical strategic and tactical decisions. Currently, there are nearly 400,000 Data Analyst positions listed on LinkedIn in the US alone, with the demand expected to grow by 25%, according to the U.S. Bureau of Labor Statistics. Pursuing a career in Data Analytics ensures long-term relevance and stability.

Data analysts play a vital role in capturing, analyzing, and interpreting data to uncover trends and patterns that address real-world challenges. These insights enable organizations to make informed decisions that align with their business goals. The Data Analyst Bootcamp equips you with the latest techniques and practical skills needed to excel in this field. By identifying meaningful patterns in data, analysts help businesses mitigate risks and make smarter, more profitable decisions.

As cloud computing, the Internet of Things (IoT), and Big Data continue to expand, the volume and quality of available data have significantly improved. Organizations now recognize the immense value of data analysts who can effectively harness this information. By mastering skills in acquiring, managing, storing, analyzing, and visualizing data, you’ll position yourself as an indispensable asset to any business seeking to unlock the full potential of its data resources.

Cutting-Edge Data Analytics Tools and Technologies You'll Learn

Course Syllabus

Learning Objectives:

  • Understand the fundamentals of Excel, including basic functions and formulas.
  • Perform statistical analysis with Excel.
  • Master the use of PivotTables for efficient data analysis.
  • Explore advanced data visualization techniques using Excel.

Topics Covered:

  • Data Cleaning and Preparation.
  • Using PivotTables and Grouping for Data Insights.
  • Conducting Scenario and Sensitivity Analyses.
  • Applying Lookup Functions and Merging Data.
  • Creating Charts and Visualizations.
  • Using the Data Analysis ToolPak for Statistical Functions.

Learning Objectives:

  • Gain a comprehensive understanding of source code management using Git.
  • Harness the potential of Git and GitHub for version control.
  • Learn how to manage and collaborate on code like a professional.

Topics Covered:

  • Introduction to Version Control and Git Basics.
  • Using Git Command Line for Everyday Tasks.
  • Key Git Commands for Version Management.
  • Collaborative Coding with GitHub.

Learning Objectives:

  • Develop expertise in Descriptive Statistics and Probability Theory.
  • Understand various probability distributions, including Normal, Binomial, and Poisson.
  • Learn Inferential Statistics to draw meaningful insights from data.

Topics Covered:

  • Probability and Statistics Essentials.
  • Linear Algebra Concepts for Data Analysis.
  • Calculus Foundations for Data Science.

Learning Objectives:

  • Learn essential SQL commands to interact with databases.
  • Use filtering, operators, and functions to analyze and summarize data.

Topics Covered:

  • SQL Fundamentals and Its Importance.
  • Admin Commands for SQL Databases.
  • Filtering Data with SQL Queries.
  • Aggregation and Summary Functions.
  • Understanding Relationships Between Tables.
  • Combining and Analyzing Data Across Multiple Tables.
  • Advanced SQL Techniques for Efficient Analysis.
  • Master advanced SQL techniques for complex data analysis.

Learning Objectives:

  • Start with Python programming basics.
  • Utilize built-in and user-defined functions effectively.
  • Work with powerful libraries like Pandas and NumPy.
  • Create impactful visualizations using Python.

Topics Covered:

  • Introduction to Python for Data Analytics.
  • Key Programming Concepts: Strings, Data Structures, and Flow Control.
  • Writing and Using Functions and Modules.
  • File Handling in Python.
  • Data Analysis with Pandas and NumPy.
  • Using Regular Expressions for Data Processing.
  • Data Visualization Techniques.

Learning Objectives:

Topics Covered:

  • Exploratory and Confirmatory Data Analysis with Python.
  • Advanced Pandas for Intermediate Users.
  • Handling Unstructured Data in Python.
  • API Integration for Data Retrieval.
  • Parallel Computing with Dask.
  • Advanced Visualizations: Seaborn, Plotly, and Bokeh.
  1. Learning Objectives:
  • Get introduced to data visualization concepts and Tableau basics.
  • Connect to various data sources in Tableau.
  • Learn techniques for slicing and dicing data.
  • Perform basic and advanced calculations in Tableau.
  • Design, publish, and share interactive dashboards.
  • Apply Excel basics and formulas to enhance Tableau workflows.

Topics Covered:

  • Introduction to Tableau and Data Visualization.
  • Tableau Building Blocks and Data Connections.
  • Preparing and Managing Data in Tableau.
  • Creating Basic and Advanced Visualizations.
  • Slicing, Dicing, and Performing Calculations in Tableau.
  • Formatting and Designing Dashboards.
  • Publishing and Sharing Tableau Dashboards.

What You Will Learn

Mathematics and Statistics Fundamentals

Grasp the core principles of Mathematics and Statistics essential for Data Analytics.

Mastering Excel for Data Analytics

Learn how to use pivot tables and perform different types of data analysis using Excel worksheets

SQL for Data Analytics

Learn the fundamentals of databases and SQL, and how to execute basic SQL queries and perform data analysis.

Python Essentials for Data Analysis

Dive into Python basics, including functions and key libraries such as Pandas and NumPy, for data analysis.

Data Analysis with Python

Harness the power of Python programming to conduct exploratory data analysis and visualize data effectively.

Data Visualization with Tableau

Use Tableau to perform advanced calculations and create visually appealing dashboards that enhance data interpretation.

Skills You Will Gain

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Frequently Asked Questions

There are no mandatory prerequisites for joining this Bootcamp. While having prior knowledge of Mathematics, Statistics, or Python can be helpful, it is not required.
All you need is the right mindset, logical thinking, and a curious attitude. We’ll take care of the rest!

You’ll need a workstation or laptop with at least 8GB of RAM and a stable internet connection to run the tools and access course materials efficiently.
The Bootcamp is delivered through a blended learning approach, combining live instructor-led sessions with self-paced learning modules. In addition, you’ll complete assignments, quizzes, assessments, and hands-on projects to strengthen your understanding and build a professional portfolio. After completing the learning modules, you’ll have access to an exclusive session designed to prepare you for job interviews, including mock interviews, portfolio reviews, and more.
Absolutely! This Bootcamp is designed for learners of all backgrounds, even if you’re new to data analytics. The program starts with foundational training in programming, mathematics, and statistics and progressively covers intermediate and advanced tools and techniques for analyzing large datasets. You don’t need a technical background to succeed in this course.
You’ll receive login credentials for PRISM, our cutting-edge learning platform. Through PRISM, you can attend live classes, access course materials, and complete all program requirements.
Each class begins with a quick recap of the previous session. Additionally, all class recordings will be available on PRISM for you to review at your convenience. While it’s best to attend all sessions to make the most of the training and mentorship, you’ll have the resources to catch up if needed.
Absolutely! We’ve partnered with Affirm to offer you the convenience of breaking your course fee into easy EMIs. Choose a payment plan that works best for you and start your learning journey without any financial stress.

Workshop Experience

The Data Analyst Bootcamp is available in two formats: live, instructor-led online sessions and self-paced, on-demand learning modules.
The Bootcamp is conducted by seasoned professionals with extensive industry experience in data analytics. These experts are passionate educators who will guide you through fundamental concepts, hands-on applications, and best practices in data analytics.
The Bootcamp follows a blended learning approach, comprising 115 hours of instructor-led sessions conducted by experienced trainers, combined with practical learning opportunities.
Yes, you can request to reschedule your start date by providing at least 24 hours' notice. The change is subject to availability in the new batch you wish to join.

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