Key Features
DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Scientist. We have meticulously planned your journey for a promising and fulfilling Data Science career ahead.
100+ Hours of Instructor-Led Training
Dedicated Career Coach
200+ Hours of Self Paced Training
Professional Certification Program
500+ Exercises and Assesment
24/7 Support
06 Months | Online Learning with 24 x 7 Support
Navigating Journey to Becoming a Data Analyst
Strategic Learning: Direct Your Career Growth
Job-Ready Modules Tailored for Success: Master the In-Demand Skills of Tomorrow
Practical Pedagogy: A Gateway for Beginners
Add an Extra Edge to Your CV Through Real-World Projects: Become a Top-Pick for Recruiters in Search of Candidates with Profound Practical Expertise
Ace the Interview: 1000+ Key Questions Uncovered
Practice to Perfection: Master Your Response to the Most Frequently Asked Questions and Impress Recruiters from the Get-Go
Interview Success: Tailored Prep Videos
Focused Videos to Boost Your Confidence: Expert Guidance on Key Technical Topics that are Integral to Job Interviews and Recruitment Tests
Curriculum
DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Analyst. We have meticulously planned your journey for a promising and fulfilling Data Analysis career ahead.
- Python Introduction for Data Analysis
- Mastering Python Data Structures
- Understanding Control Structures & Functions
- Intro to Object-Oriented Programming in Python
- Proficiency in Python File Handling
- Exploring Advanced Data Structures
in Python
- Getting Started with MySQL
- SQL Commands Fundamentals
- Data Types, Keywords, and Clauses in MySQL
- Functions in MySQL
- Aggregate Functions in MySQL
- MySQL Constraints
- MySQL Joins
- MySQL Subqueries
- Views and Stored Procedures in MySQL
- Window Functions in MySQL
- Unleashing the Power of Excel
- Mastering Data Entry and Formatting
- Cleaning and Manipulating Data
- Mastering Excel Functions
- Creating Stunning Visualizations
- Advanced-Data Analysis Techniques
- Pivot Tables and Pivot Charts
- Descriptive Statistics and Time Series Analysis
- Interactive Dashboards and Adv. Data Visualization
- Excel Macros
- Unleashing the Power of Excel
- Data Analysis with MS Excel
- Summarizing and Forecasting
- Macros and Dashboarding
- Exploratory Data Analysis with Python
- Utilizing NumPy for Analysis
- Basics of Series and DataFrame in Python
- Filtering Data with Pandas
- Extracting and Aggregating using Pandas
- Visualization with Matplotlib and Seaborn
- Interactive Plotting with Plotly and Cufflinks.
- Introduction to Enterprise Dashboards
- Connecting Data Sources in Tableau
- Creating Interactive Visualizations in Tableau
- Designing Effective Dashboard Layouts
- Utilizing Filters and Parameters in Tableau
Dashboards - Implementing Advanced Calculations in Tableau
- Dashboard Interactivity and User Experience
- Introduction to Business Dashboards
- Connecting Data Sources in Power BI
- Designing Visualizations in Power BI
- Creating Interactive Dashboards in Power BI
- Applying Filters and Slicers in Power BI
- Implementing Advanced Calculations and Measures in Power BI
- Sharing and Publishing Power BI Dashboards
- Problem Recognition and Framing
- Analytical Approaches and Techniques
- Case Studies – Problem-Solving in Practice
- Collaborative Analytics Problem-Solving
Transform Your Career with Data Analyst and Prepare for Certification from
Dataisgood Education
06 Months | Online Learning with 24 x 7 Support
Success Stories
Meet some of our Extremely Talented and Hardworking alumni at Dataisgood Career Transition Programs who achieved their Dream Jobs as a Data Scientist and Data Analyst in some of the Most Reputed MNCs and Startups.
Data Analyst Training & 360° Placement Assistance
360° Placement Assistance
We guide you to get into the best companies
50+ Career Specialists
We help you throughout you career journey
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Frequently Asked Questions
The data analyst course is designed for individuals with a basic understanding of data analysis concepts and proficiency in using computers. Familiarity with programming languages like Python and SQL is beneficial but not mandatory.
Yes, the course emphasizes practical hands-on experience. You will have opportunities to work with tools like BigQuery, Tableau, and Power BI to analyze real-world datasets and create meaningful visualizations.
The course includes a dedicated portfolio building section where you will learn strategies to showcase your data analysis skills effectively. You will work on projects that can be included in your portfolio, demonstrating your ability to derive insights and make data-driven decisions.
We provide career support services to our students, including 360° placement assurance, resume building guidance, and interview preparation. Our aim is to help you succeed in your data analyst career.
While the course itself does not offer industry certifications, it equips you with the skills and knowledge needed to pursue certifications like Google Cloud’s BigQuery Certification or Tableau Desktop Specialist Certification, which can further enhance your professional profile.
The estimated time commitment for the course is typically around 6-8 hours per week. However, the exact time may vary depending on individual learning styles and pace. We recommend dedicating consistent time and effort to fully benefit from the course materials and assignments.
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