The industry has amassed a considerable amount of data. For the purpose of making judgments in the future, companies either produce a lot of data or purchase data. When a company gets hold of massive amounts of data, there is a need for this data to be cleaned, processed, and prepared to be used further as an input to predictive models or Machine learning algorithms. This is when tech organizations post a job posting seeking candidates with the skills to clean, pre-process, visualize data, and derive intelligence from data.
This course will be online | offline - Class room
This course is scheduled to start from Januray 2023.
4 months of offline | online training.
There is a huge accumulation of Data in the industry. Organizations are either generating a lot of data or buying data to take future decisions.
When a company gets hold of massive amounts of data, there is a need for this data to be cleaned, processed & prepared to be used further as an input to predictive models or Machine learning algorithms.
This is when tech organizations put out a job posting seeking candidates who possess the skills to clean, pre-process, visualize data, and derive intelligence from it.
This course is a detailed industry excellence program. If you want just theoretical lessons without practical implementation, then this course is not for you. Instead, if you want to learn exactly how things are done in the industry and become a Full Stack Data Analyst, you've come to the right place.
This section deals with complete mastery of Full Stack Data Analyst, The modules taught will be more than adequate to understand the concepts of Business Intelligence, data pre-processing, and data analysis techniques used in data science.
Introduction to Python Programming
Why Python is the choice for data analysts, Scientists, and Engineers
Data Types & structures in Python
Conditional Statements
Control Flow
Python Loops
Python Functions
Python Classes and Objects implemented
Hands-on Exercises and Solutions
Statistical Analysis using DataTab
Session - 1 Getting started
Introduction to Probability
Session 1: Introduction to Probability
Python Libraries & Packages
Numerical and Scientific Computation
Data Visualization: Descriptive Statistics
ETL: Extract, Transform & Load
Pandas
Data-Preprocessing
Normalization, Standardization, Discretization
Custom Transforms
Hands-on Project
Introduction to Databases
ETL using SQL
Basic SQL
Intermediate SQL
Introduction to Power BI
Project on interface & workflow Power BI Desktop
Welcome to Power BI Desktop
Power BI Query Editor
Power BI Query Editor
Star Schema and its Implementation In Power BI
Data And Relationships
Visuals in Power BI
Power BI: Advanced Tips and Techniques
My training at Certisued has really contributed towards my long-term goals of becoming a Quantitative Strategist. We were guided constantly under Vijay sir, which gave us the liberty of taking risks. My core project was based on Machine learning using stocks data and applying some advanced algorithms to it. I am recommending this to every curious enthusiast out for sure!
Nowadays, each company collects data, and quintessentially each company’s success is dependent on how effectively this data is utilized. Data analysis is an art that facilitates these companies to cleanse the data, transform the data and conduct data exploration to derive useful insights that would largely help companies to foresee possible future trends.
You will learn Jupyter IDE, Python from scratch, Statistics on Datatab, Numpy, and Pandas for Data preprocessing and data wrangling, Matplotlib, and Seaborn for effective visualization. You will learn Database management systems and how to use Structured Query Language (SQL) on MySQL. You will also learn Power BI for data preprocessing and effective visualization to draw business insights.
YES, YOU CAN. We assure you that you do not have to know anything about programming or coding. We will teach Python programming from the scratch just like how you initially learn alphabets in any general conversation languages like English. With our one-to-one mentorship and your continuous effort, you will become a fluent Python programmer
Full Stack Data Analyst Course is designed in accordance with the current industry requirement and trends. The curriculum is set after extensive industry requirement analysis and continuous consultation with industry experts. The course will make you job ready on technical aspects through the course curriculum and also through the specialized Job Assistance Program.
We provide 100% job assistance. Our program is designed in such a way that we groom you to become industry-ready with Certisured’s unique placement program. We make sure that our students are well placed and industry ready in all the aspects which includes resume preparation, video resume, linked profile optimization, portfolio creation, blogs by students, and a certification that has a high value in the industry.
The course is set out for a duration of 4 months. The course is tailored to accommodate enough time to learn the data analysis concepts and also practice extensively to become a master in data analytics using Python, Power BI, and SQL.
All the datasets used for class demonstrations and provided for mini projects/Capstone projects are industry relevant exclusive real-life datasets. You will get an exposure to industry level data analysis pipeline while working on these real-life datasets.
The course is offered in both online and offline modes. For offline classes, you will find Certisured to be one of the best and most state-of-the-art learning environments for offline classes. For online classes, we deliver the same offline-level immersive instructor-led training with the help of our unique Smart Panel.
A Course Completion Certificate will be awarded upon the completion of the course. A Course Excellence Certificate will be awarded upon successful completion of the course and successful completion of the mini projects and capstone projects as defined. The certificates awarded by Certisured are well recognized in the industry and have lifetime validity.
You will have the following options to make a payment.
We accept payments through cash, UPI payments, debit card, and credit card.
YES, THERE IS A REFUND POLICY.
Early bird entries will get a discount of up to 15% on the standard package. A new batch starts every month 15th and any student enrolled on or before the 7th of the respective month will be eligible for the early bird offer.
Early bird entries will get a discount up to 25% on the standard package. Write to learn@certisured.com to know your coupon code.
If you want to know more details or talk to the instructor, register below for the demo class. Those who attend the demo class will get a coupon code too!
