DATA ANALYST COURSE

WinProSys’s Data Analytics course trains you to collect, process, analyze, and interpret data to uncover insights and drive smarter business decisions.

WinProSys

WinProSys

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Turn Data into

Decisions with Real-World Insights

WinProSys’s Data Analytics course trains you to collect, process, analyze, and interpret data to uncover insights and drive smarter business decisions.

Hands-on
Training

Work on real datasets using tools like Excel, SQL, and Python.

Industry-Based Training

Learn analysis techniques aligned with business and industry needs.

Experienced
Experts

Gain knowledge from professionals experienced in real data projects.

Placement Opportunities

Receive career guidance and connect with top analytics recruiters.

Years of Experience
+
Projects Completed
+
Placements Done
+
Students Trained
+

Limited Students Batch

Live Projects

Personalised Attention

Career Support

Highly Qualified Experts

Job Oriented Training

Flexible Batch Timings

Interactive Learning

Our Candidates Placed

Our candidates are placed at top-rated companies across various industries. At WinProSys, we ensure skill-matching and career growth by connecting talented professionals with leading employers for long-term success.

Course Curriculum

  • Why do Organizations needs a Data Analyst
  • Introduction to Data analysis & Evolution of Data Science
  • Difference between Data analyst & Data Scientist
  • Roles & Responsibilities of Data Analyst
  • Different types of Data
  1. What is exploratory data analysis?
  2.  7 steps in EDA?
  3. How to perform EDA on Real time Dataset
  1. Data Visualizations
  2. Working with Tableau
  3. Deep Diving with Data and Connections
  4. Creating Charts
  5. Adding Calculations to Your Workbook
  6. Mapping Data in Tableau
  7. Dashboards and Stories
  8. Visualizations for an Audience
  1. Bar plots
  2.  Basic Matplotlib concepts
  3. Subplots
  4. Histograms
  5. Advanced Matplotlib concepts
  1.  Data Visualization
  2. Correlation and Regression
  3. Data Ethics and Privacy
  1. SQL Fundamentals
  2. Excel Data Analysis
  3.  Segmentation and Clustering
  4. Data Wrangling
  1. Statistical Software (e.g.
    R
    Python
    Jupyter
    Pandas)
  2. Data Collection and Preparation
  3. Data Analytics Process
  4. Segmentation and Clustering
  1. Data Storytelling
  2. Data Wrangling
  3. Exploratory Data Analysis (EDA)
  4. Data Exploration and Cleaning
  1. Segmentation and Clustering
  2. Data Validation and Quality Control
  3. Data-driven Decision Making

Professional Certificate

Beginner level

No previous experience necessary

Course Session

25 Days 1 Hours per day

Flexible schedule

Learn at your own pace

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Course Key Features

Students learn how to gather data from various sources, including databases, spreadsheets, web scraping, and APIs Creating clear and concise reports and dashboards to communicate findings to stakeholders

Skills Covered

Data Collection
SQL
Critical Thinking
Communication

Job Roles

Data Analyst
Business Analyst
Database Administrator (DBA)

Quick Response

WinProSys ensures quick response times, addressing client queries and technical issues promptly for seamless project continuity.

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