Data Analysis Course - Master Data Analytics & Visualization
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Master the Art of Data Analysis

Gain hands-on experience in data Analysis with industry-standard tools like Python, SQL, and Tableau. Learn how to analyze, interpret, and visualize data to make informed business decisions and excel in the field of Analysis.

Data Analysis Course

Description

Comprehensive Data Analysis Curriculum

Join Urbancode's Data Analysis course and master the skills to turn data into actionable insights. This course provides you with hands-on experience in analyzing and interpreting data using industry-standard tools like Python, SQL, and Tableau. You'll work on real-world datasets, developing your ability to clean, process, and visualize data to solve complex problems. Our expert instructors guide you through every step, helping you build a strong foundation in Analysis, data visualization, and statistical analysis. With our career support services, including resume building, placement assistance, and access to a vast network of industry professionals, you'll be well-equipped to step into the thriving field of data Analysis.

This course includes

  • 60 hrs Instructor-Led Training & Hands-on Projects
  • Data Analysis Portfolio Development
  • One-on-One Mentor Support
  • Certificate of Mastery in Data Analysis
  • Placement Assistance for All Candidates

Course Content

Introduction to Data Analysis

  1. What is Data Analysis?
  2. Importance of Data in Decision-Making
  3. Overview of Analysis Tools and Techniques

Data Cleaning and Preprocessing

  1. Handling Missing Data
  2. Data Transformation and Normalization
  3. Outlier Detection and Removal

Data Analysis Techniques

  1. Exploratory Data Analysis (EDA)
  2. Statistical Methods for Data Analysis
  3. Correlation and Regression Analysis

Data Visualization with Tableau and Power BI

  1. Introduction to Data Visualization Tools
  2. Creating Interactive Dashboards
  3. Designing Visuals for Effective Insights

Data Analysis with Python and SQL

  1. Using Python for Data Analysis (Pandas, Numpy)
  2. SQL for Data Manipulation and Querying
  3. Connecting Python and SQL for Data Analysis

Project and Portfolio Development

  1. Building Data Analysis Projects
  2. Creating a Data Analysis Portfolio
  3. Showcasing Projects for Career Advancement

1-Month Data Analysis Placement Program:

  • Introduction to data Analysis and the data analysis lifecycle.
  • Understanding data types, sources, and collection methods.

  • Techniques for cleaning, transforming, and handling missing data.
  • Working with data in Excel, SQL, and Python (Pandas).

  • Techniques for data visualization and identifying patterns in data.
  • Introduction to statistical methods and hypothesis testing.

  • Introduction to machine learning algorithms (linear regression, decision trees, etc.).
  • Building a simple machine learning model using Python (scikit-learn).

  • Mastering visualization tools such as Tableau, Power BI, and Python (Matplotlib, Seaborn).
  • Creating interactive dashboards and insightful reports.

  • Understanding probability distributions, hypothesis testing, and statistical significance.
  • Performing t-tests, ANOVA, and Chi-Square tests using Python.

  • Building a data Analysis portfolio with real-world project examples.
  • Optimizing your online portfolio and LinkedIn profile.

  • Resume and cover letter writing for data analysts.
  • Job search strategies, interview preparation, and networking in the data Analysis field.

Join Our Data Analysis Placement Program: Shape Your Analytical Career!

Register today to kickstart your journey into the professional world of data Analysis. Learn from industry experts and gain the skills needed to succeed in the dynamic and fast-growing field of data analysis.

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FAQ

Discover answers to frequently asked questions about our Data Analysis Placement Program.

  • What is the Data Analysis Placement Program?

    The Data Analysis Placement Program is an intensive training program designed to provide individuals with the skills required to analyze, interpret, and visualize data. Participants will gain hands-on experience with real datasets and advanced Analysis tools, preparing them for a successful career in the field of data science and Analysis.

  • The program includes in-depth training in data cleaning, exploratory data analysis (EDA), statistical analysis, data visualization techniques, machine learning algorithms, and programming with Python and R. You'll also learn to use tools such as SQL, Excel, and Tableau to manipulate and present data effectively.

  • This program is designed for aspiring data analysts, business professionals looking to make data-driven decisions, or anyone interested in learning the skills needed to work with data. No prior experience in data Analysis is required, but a curiosity about data and an analytical mindset will be beneficial.

  • We provide comprehensive placement support that includes resume building, interview coaching, mock interviews, and job search assistance. Our team connects you with top employers in the data Analysis industry to help you secure a role that aligns with your career goals.

  • To apply for the program, visit our website and complete the application form under the Data Analysis Placement Program section. Our admissions team will follow up with you to guide you through the enrollment process and provide further details.

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