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Key Highlights
Skill Covered
Program Details
Tools Covered
Statistics Essentials & Fundamentals of Data Science
The statistics and data science fundamentals complete the data analysis; Statistics is an essential drill of data science. The statistical tools allow you to discover huge conclusions even with limited data samples. Aspire to become a data scientist? Master the data science pro program to understand the crux of statistics essentials & fundamentals of data science.
With the data science pro program, you will master the data concepts and understand data science. The course covers the core study of Introduction to Data & Data Types, Numerical parameters to represent data, Data Science v/s Data Analytics v/s Business Intelligence, Importance of Data Science in today's data-driven world, Application of Data Science, Role of Data Scientist, Introduction to Databases and its Types, Steps of Data Science & Machine Learning and Use cases of Data Science in different industries
Statistics holds a strong position and is the prime aspect of data science. This module will highlight the key concepts in Introduction to Statistics, Descriptive v/s Inferential Statistics, Variables and Types of Variables, The measure of Center and Measure of Spread, and Measures of Central Tendency, IQR Covariance, and Correlation between data. Create and learn about histograms.
Advanced statistics for data science incorporates a complete understanding and exposure to various concepts, including Introduction to Inferential Statistics, Sample v/s Population, Explore Hypothesis Testing, Null and Alternative hypotheses, and Type I error vs. Type II error. In-Depth Knowledge of Anova, Chi-square Analysis, and Parametric and Non-parametric tests.
Probability is the mathematical theory based on the statistical conclusion, which is essential for analyzing data. Thus, it is the key factor for data scientists. This lesson will cover the topics like Introduction to probability. Baye's Theorem, Bernoulli's Theorem, Independent & Dependent Events Conditional Probability, Probability Distributions, skewness and & Kurtosis, etc.
In-Depth Knowledge of SQL
The structured query language is designed to manage the data and communicate in a relational database. SQL has multiple functions that allow the user to read and manipulate the data. This module will cover in-depth knowledge of SQL.
The operators are symbols used to carry out operations with values. These operators are used with SQL clauses such as SELECT, WHERE, ON, etc. In this lesson, you will learn the types of SQL Operators. SQL Arithmetic operators, SQL Comparison operators, SQL Logical, etc
This module will explain using different types of SQL, Join tables, and Variables queries to select data from multiple related tables. The user will understand Creating Databases and Tables, DDL & DML statements, What are Joins, Inner Join, Multiple Joins-Joining More than two tables, and other important functions.
This module is a part of the full-length tutorial on using SQL for data analysis. This lesson will cover an Introduction to subqueries in SQL and applications, How to write Subqueries in SQL, Methods to create and view subqueries, and other essential concepts.
Get to know in detail about the Views, Functions, and Stored Procedures in SQL, when and how to best use them. Suppose you're curious about these advanced concepts. In that case, you'll want to learn more about Introduction to SQL Views, How to create, modify, delete, drop, Remane, Alter, and Manage Views, What Stored Procedures and their benefits, and other vital functions.
In this class, we will learn advanced SQL. Get well-defined information on SQL with its functions. Seek more inputs on understanding more SQL Functions, Explore More about Subqueries, Primary Key, Foreign Key constraints, and various other functions. In this class, we will learn advanced SQL. Get well-defined information on SQL with its functions. Seek more inputs on understanding more SQL Functions, Explore More about Subqueries, Primary Key, Foreign Key constraints, and various other functions. In this class, we will learn advanced SQL. Get well-defined information on SQL with its functions. Seek more inputs on understanding more SQL Functions, Explore More about Subqueries, Primary Key, Foreign Key constraints, and various other functions. In this class, we will learn advanced SQL. Get well-defined information on SQL with its functions. Seek more inputs on understanding more SQL Functions, Explore More about Subqueries, Primary Key, Foreign Key constraints, and various other functions.
Data Science with Python
This Python data science course taught by experienced allows you to master data science using basic python constructs, NumPy, and Data manipulation with Python. Learn Data Science with Python through real-world projects.
Get to know the complete overview of Data Science using Python. This module will walk you through the concepts that will help you understand Python and the applications of Python in different sectors. The features and components of Python will give you a clear overview of the Data Science essentials.
This is one of the notable modules of Data Science that explores the Python Environment Setup and Essentials. Get the best information on the Python installation and setup, Python IDE working mechanism, Running some Python basic commands, Python variables, data types, keywords, Libraries, and Modules in Python
The Data Science Pro Program will help you understand the basic python constructs, which will develop a strong base in data science. You will be an expert with good knowledge of using indentation like tabs and space, Built data types in Python, Numbers, Strings, Sets, and Dictionaries, Basic Operators and Functions, Conditional and Control Statements Like if, else, Break, Continue, etc
After learning the basic Python constructs, the module will cover NumPy for Mathematical Computing. In this module, you will learn What are arrays and matrices?, Array Indexing, Array Math, Inspecting a NumPy array, Using Arithmetic Operators with Numpyand various other NumPy functions.
During this session, the learner will master various aspects of Data Manipulation with Pandas, such as the Basic Functionalities of series and Data Frames, Transforming Data-sorting rows columns, Slicing and Dicing Functions, Missing Value Handling, and other related data science functions.
Python is equipped with a Matplotlib library, enabling users to develop visualizations like bar charts, histograms, etc. This module will help you create sophisticated and esthetic data visualization concepts. At the end of the class, the learner will be efficient in Using Matplotlib for Plotting Graphs. Use Seaborn for Plotting Graphs and Advanced Data Explorations with many other Python properties.
Self-Paced Learning
Get access to high-quality self-paced content curated by top industry experts. Here you will be exposed to a variety of concepts of Data Science that you can learn at your own pace - anytime, anywhere.
Complete Guide to MongoDB
Gain access to high-end self-paced content; carefully selected and cataloged by industry experts. Get acquainted with essential concepts of Data Science that you can learn at your convenience and from your comfort zone.
This Data Science Pro Program sub-module includes a detailed understanding of NoSQL and the Introduction and installation of MongoDB. MongoDB is one of the most widely acknowledged Nosql databases, making Mongo DB so scalable and flexible.
This sub-module will explain Create, Read, Update, and Delete. These are the essential components of the CRUD that any application must be able to perform. Know more about CRUD and basic operations.
This session will help you understand Schema, Data Modelling, and Relations concepts. Understand the challenges for Data Modelling in MongoDB and explore the data models.
Experience a constructive session about the Indexing and Aggregation Framework. Learners will grasp the information on Index Introduction, Index Concepts. Types of Aggregation and Performance Tuning.
Avail an informative session on Replication & Sharding. You will be learning How Replication Works in Mongodb, Automatic Failover How to Setup Replication in Mongodb, Sharding, Sharded Cluster Query Router.
This Data Science Pro Program sub-module will focus on the Administration concepts in MongoDB and Monitoring issues related to Databases. Get a productive experience on the Export and Import of Data to and from MongoDB and Run time configuration of MongoDB.
Have an exciting learning experience on MongoDB Security. This session will guide you on understanding Role Based Access Control, Built-in Roles. Assigning Roles to Users & Databases, Updating & Extending Roles to Other Databases, and MongoDB Integration With Java
Working with AI and Deep Learning
Data Science Pro Program will give you a complete glance at AI and Deep Learning concepts. Deep Learning is a young subfield of artificial intelligence based on artificial neural networks. Get in hand an entire productive session on AI and deep Learning.
This session will help you understand the AI and Deep Learning concepts along with History of Deep Learning, Machine Learning vs. Deep Learning Real Life Applications of Deep Learning and The benefits of machine learning.
Get introduced to TensorFlow; an end-to-end machine learning platform. This session will create great interest in learning Linear Regression With Tensorflow, Logistic Regression With Tensorflow, and Deep Neural Networks.
This module will make you aware of the artificial neural network and will also cover Biological Neuron Perceptron, Multi Layer Perceptron Weight and Bias with other related topics.
Expand your knowledge of Neural networks. This session will guide you on What are convolutional neural networks? CNN for Classifications, CNN Architecture. This module also covers Famous CNN Architectures, Using CNN with different Datasets, and Transfer Learning.
After learning about CNN, this module will introduce you to the RNN (recurrent Neural Network). Understand different types of RNN and details on the Architecture of RNN, Bidirectional RNN, and applications of RNN.
Text Analysis with NLP
Text Analysis with NLP is an AI-based applied science that uses natural language processing (NLP) to convert unstructured text in documents and databases into structured data for analysis. This Data Science Pro Program module will cover understanding and processing of NLP, and you will also get exposure to web scraping.
This data science submodule will highlight how Web scraping uses bots to extract data from a website. The session will cover web crawling vs. web scraping, its uses, and the components of Web Scraping.
In this session, you will understand everything from Setting up Python Environment for Web Scraping, Python Modules for Web Scraping, Urllib3 Selenium and Scrapy.
It will be an informative session on NLP with Introduction to Text Mining know more about typical NLP tasks and Natural Language Toolkit (NLTK) Environment. It will be an informative session on NLP with Introduction to Text Mining know more about typical NLP tasks and Natural Language Toolkit (NLTK) Environment. It will be an informative session on NLP with Introduction to Text Mining know more about typical NLP tasks and Natural Language Toolkit (NLTK) Environment.
This module will let you explore NLP and help you gather excellent working experience with NLP.
In this module, you learn the data type conversions, filtering, sorting, and Cleaning of data.
After learning how to process the data, in this session, grab the opportunity to create a graphical representation of data. Get hands-on trying different basic data visualization, Advance data visualization, and get insights from data. After learning how to process the data, in this session, grab the opportunity to create a graphical representation of data. Get hands-on trying different basic data visualization, Advance data visualization, and get insights from data. After learning how to process the data, in this session, grab the opportunity to create a graphical representation of data. Get hands-on trying different basic data visualization, Advance data visualization, and get insights from data.
Industry Projects
In this certificate program, you would also get real-life exposure through Industry Projects along with the mentorship from top notch industry experts from Data Science domain. These projects will be a part of your Data Science Pro Program to enhance your knowledge. You will be working on real-world datasets under the guidance of world-class industry experts.
Uber
Zomato
Amazon
Netflix
Walmart
Receive a Certification of Completion from Fingertips Data Intelligence Solutions Private Limited.
Career Assistance
After 80% of the course completion
Why Fingertips?
2x Faster Career Growth
We have a participative and activity-based learning mechanism to help you master the most in-demand skills that most of the top companies are looking for.
Real-World Projects
You get hands-on exposure to industry-relevant live projects related to Data Science and Business Intelligence.
Doubt-Solving Sessions
There is distinctive support for Non-Technical learners with regular doubt-solving sessions by industry experts.
Dedicated Program Manager
A separate instructor i.e., a Dedicated Program manager will be with you to guide you during the entire certificate program.
Our Alumni Work At
Data Science Course Fees in Ahmedabad
We have partnered with the following financing companies to provide no-cost EMI and competitive finance options with no hidden costs.
- 4 Months Program
- Certification from E&ICT Academy IIT Guwahati
- Certification from E&ICT Academy IIT Guwahati
- 100% Job Assistance
We have partnered with the following financing companies to provide no-cost EMI and competitive finance options with no hidden costs.
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