Professional Certification Program in
Data Analytics
Data Analytics is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. Data is collected and analyzed to answer questions, test hypotheses, or disprove theories.
Designed by mentors from
Next Batch start on
Apr 19th, 2024
DURATION
06 Months
360°
Placement Assistance
ELIGIBILITY
Graduation (Any Stream) or In the final year of Graduation & Young Professionals
Key Features
At DataisGood, we designed curriculum empowers aspiring Data Analysts with the necessary skills and knowledge. Through comprehensive planning and practical projects, we create the path for a promising career in Data Analysis, ensuring proficiency and success in this dynamic field.
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
Transform Your Career with Data Analyst and Prepare for Certification from Dataisgood Education
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
Languages and Tools Covered
Hands-on Course Projects
Peak Traffic Times in City
This study offers insight into vehicle flow that can be useful for traffic study and management.
Face Expression Recognizer
In this Project, you will learn to use Computer Vision Techniques to detect Human Emotions such as Angry, Sad, Happy, Disgust, Fear, etc to build a Facial Emotion Detector.
Drugs Prescription using Reviews
In this Project, you will learn how to Deal with Data having Textual Features, you will also learn NLP Techniques to transform and Process the Data to find out Important Insights.
Air Quality Prediction
In this Project, you will learn to forecast the Air Quality Index of places with Time Series models like ARIMA, SARIMA, and SARIMAX. Also, as pollution levels increase in winter. So, these models can identify the seasonal trends as well.
Stock Market Prediction
In this Project, you will learn to analyze and the Stock Market Prices using Time Series Forecasting, Advanced Deep Learning Models and different Statistical features.
Inflation Rate Forecasting
In this project, you will learn how to forecast the inflation rates. You will use the Seasonal Autoregressive Integrated Moving Average, or SARIMA, method for time series HICP forecasting with univariate data containing trends and seasonality.
Predict the Height and Weight of a Person
In this project, you will explore and prepare a dataset to predict the height of a person based on their age, gender and weight.
Determining Status of Loan Applicants
In this Project Course you will learn how to Implement a Classification Analysis Predictive Model for Determining whether a Person should be Granted Loan or Not.
Open Job Analysis and Recommendation
You will analyze the factors and metrics for Quality Oriented Jobs by searching relevant jobs using Recommenders Systems.
Sample Superstore Orders Data Analysis using Excel
In this project, you will analyze the sales data and identify weak areas and opportunities for Super Store to boost business growth.
Our Data Analytics Trainers
Quality training starts with the right instructors. Our instructors have more than 7+ years of experience in their core domain and are the core of every successful learning experience
Josh Temin
Data Science Leader, Data Product Developer
Vicky Ikonomidou
Associate Professor at George Mason University
Sumit Kumar
Data Scientist & Tableau Specialist
Ankit Maheshwari
Expertise in Big Data
Arpit Sharma
Data Scientist & Machine Learning Specialist
Showcase your Course Completion Certificate to Recruiters
- Course Completion Certificate From Dataisgood Education
- Project Completion Certificate From Dataisgood Education
- Internship Certificate From Partner Companies
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.
300
Licel Silvestre
Data scientist at Revolut
-
Helen Martin
Data analyst at Databricks
-
Fariya Siddiqui
Software Engineer at nuro
-
Debra Sanchez
Data Scientist at Hopin
-
Darrell Leonard
Sr Data Scientist at Databricks
-
Carter Park
Data Analyst at Hopin
-
Baiyana Zehra
Data Scientist at Revolt
-
Andrea Reed
Data Analyst at nuro
-
Joni Vera
Data Scientist at Databricks
The Dataisgood Advantage
Learn how to use data science techniques in practical situations and develop the skills needed to create effective Data Science career. To get ready for success in the field, take advantage of networking opportunities, individualised support, and hands-on training.
Unlimited One-to-one Individualised Support and Direction
only thing that is unlimited and free so clear all your doubts with our mentors
Get Ready with Domain Experts
Learn from top Data Scientist Educators from the Country through a Live Online classroom.
Industry Leaders for Professional Grooming
Know what’s Happening inside the industry, and What’s really required to make it through by engaging with Data Scientist
Benefit of Networking with Professionals
Get to know How our Alumni Started their Career in the Emerging Field of Data Science.
Program Fee
Professional Certification Program in
Data Analysis
06 Months | Online Learning with 24 x 7 Support - 360° Placement Assistance
- Live Online Classes
- Lifetime Access To Self Paced Learnings (400+ Hrs)
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
2700+ Students : 120+ Career Partners
This Healthy ratio ensures every student gets into a good company from Dataisgood
Application Process
Career Counselling
Data Analytics Career Counsellor will reach out for understanding the eligibility. If a student is eligible for the program. The Student will be shared an acceptance letter.
Easy Registration
After receiving an acceptance letter students can book their seats by paying the Booking amount.
Start Upskilling
Start your learning journey with Dataisgood and unlock your potential of reaching greater heights in the field of Data Analytics.
Upcoming Application Deadline
Once the required amount of applicants sign up for the subsequent batch, our admissions are closed. To guarantee your spots, apply early.
Deadline : April 29, 2024
Join more than 4,00,000 Students worldwide
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 career ahead.
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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.
