Best Data Analytics with python in Delhi NCR
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WHAT IS DATA ANALYTICS USING PYTHON?
CETPA Infotech provides the best data analytics training in Noida for freshers as well as experienced individuals. Indulge in the most upcoming analytics program, i.e., Python, which is significantly used for Big Data analytics, in detail. The course will cover fundamentals, visualization, data handling and manipulation, and predictive analytics using Python. Individuals from various quantitative backgrounds, such as statistics, engineering, math, finance, and business management, can enroll in a data analytics training course in Noida to jumpstart their careers in analytics. Data analytics with Python certification will give you new insights into your data. Become skilled at how to apply data science techniques and methods, and acquire analysis skills.
- Focus in Data Analytics and Machine Learning using Python Programming.
- Gain a deep understanding of different packages in Python such as NumPy, SciPy, Pandas, and Scikit-Learn.
- Gain knowledge on how to apply Machine Learning Models and NLP.
- Understand using case studies, projects and numerous hands-on assignments
WHY CETPA INFOTECH FOR DATA ANALYTICS WITH PYTHON TRAINING?
There are numerous reasons which make CETPA one of the best Data analytics with python Training Institute in Noida. Some of the reasons include
- Exclusive Training Partner of big brands which includes Microsoft, Panasonic, Oracle, PMKVY, Autodesk, Nuvoton & much more.
- Industry-specific content with systematic delivery.
- Comprehensive hands-on training based on real business examples
- Top faculty with real-time experience in the industry
- Individual attention to each learner
- Tie-ups with leading organizations
- A promise to make you job ready
OUR CURRICULUM
We are equipped with lab facilities, including latest tools and kit and excellent infrastructure. The aim of our Data analytics training in Noida is to provide a comprehensive learning path to people new to python for data analytics. We provide you basic as well as advanced level of best Data analytics course online with live projects as well as with assured placement assistance in top companies.
The curriculum includes-
- PYTHON FUNDAMENTALS
- DATA HANDLING
- STRING MANIPULATION
- LIST MANIPULATION
- OPERATORS
- PROGRAM CONTROL FLOW
- INTRODUCTION TO FUNCTIONS
- MODULES AND PACKAGES
- FILE OPERATIONS
- CLASSES AND OBJECTS
- LIBRARIES FOR DATA ANALYTICS
- STATISTICS:
- NUMPY:
- SCIPY
- PANDAS:
- INTRODUCTION TO ML
- INTRODUCTION TO BIG DATA & much more
What are the benefits of doing a Data Analytics Using Python course?
- You will get better knowledge of programming and how to implement it for actual development requirements in the industrial projects and applications.
- Enhanced knowledge on the web development framework. Using this framework, you can develop dynamic websites swiftly.
- You will learn how to design, develop, test, support and deploy desktop, custom web, and mobile applications.
- Design and improve testing and maintenance activities and procedures.
- Design, implement and develop important applications in a Data Analytics Using Python environment.
- Increased chances of working in leading software companies like Infosys, Wipro, Amazon, TCS, IBM and many more.
Certification
Professional growth, increased compensation and validation of the skill are the most popular reasons why individuals and professionals seek IT certifications. Keeping this in mind, we at CETPA provide you with certification in latest and innovative technologies to help you to reach your certification goals.
CETPA is the official Training partner of Oracle, Microsoft, Autodesk, Panasonic and Nuvoton and thus provides Online Training as per international standards and curriculum. CETPA proudly provides you certification in association with our training partners so that you can validate your domain specific technical skills. Certification from these big brands will help you in grabbing your dream job.
IMPORTANCE OF CETPA CERTIFICATION
For individuals and IT professionals:
- Gives you an advantage while searching for a job and provide a competitive advantage over your competitors.
- Ensure knowledge and skill are up to date and can be applied to the job
- Provide credibility to those looking for a career in an IT domain.
- Offer fast track to career advancement
- Demonstrate level of competency
- Professional Credibility as well as it demonstrates your dedication and motivation to professional development.
- You are likely to stand out from the crowd and be considered to be successful in your positions.
- Represent a well-recognized and valued IT credential that increases marketability and competitive edge.
For organizations:
- Provide peace of mind with the confidence that certified employees have truly learned the skills necessary to do their jobs;
- Express valuable credentials to search for in prospective employees, and can help retain top performers when offered as an incentive;
- Offer a competitive advantage when the team is trained and certified regularly.
Data Analysis Training in Delhi, Data Analytics Course in Noida, Data Analysis Online Training, Python for Data Analytics, Best Data Analytics Courses Online
FAQ
MODULE 1:GETTING STARTED
- History & need of Python
- Application of Python
- Advantages of Python
- Disadvantages of Python
- Installing Python
- Program structure
- Interactive Shell
- Executable or script files.
- User Interface or IDE
MODULE 2:PYTHON FUNDAMENTALS
- Working with Interactive mode
- Working with Script mode
- Python Character Set
- Python Tokens, Keywords, Identifiers, Literals, Operators
- Variables and Assignments
- Input and Output in Python
MODULE 3:DATA HANDLING
- Data Types
- Numbers
- Strings
- Lists
- Tuples
- Dictionary
- Set
- Frozen set
- Bool
- Mutable and Immutable
MODULE 4:STRING MANIPULATION
- Introduction to Python String
- Accessing Individual Elements
- String Operators
- String Slices
- String Functions and Methods
MODULE 5:LIST MANIPULATION
- Introduction to Python List
- Creating List
- Accessing List
- Joining List
- Replicating List
- List Slicing
MODULE 6:TUPLES
- Introduction to Tuple
- Creating Tuples
- Accessing Tuples
- Joining Tuples
- Replication Tuples
- Tuple Slicing
MODULE 7:DICTIONARIES
- Introduction to Dictionary
- Accessing values in dictionaries
- Working with dictionaries
- Properties
MODULE 8:SET AND FROZENSET
- Introduction to Set and Frozen set
- Creating Set and Frozen set
- Accessing and Joining
- Replicating and Slicing
MODULE 9:OPERATORS
- Arithmetic Operators
- Relational Operators
- Logical Operators
- Membership Operators
- Identity Operators
- Bitwise Operators
- Assignment Operators
- Operators Precedence
- Evaluating Expression
- Type Casting
MODULE 10:PROGRAM CONTROL FLOW
- Conditional Statements
- The if Statement
- The if-else Statement
- The if-elif Statement
- Nested if Statements
- Python Indentation
- Looping and Iteration
- The For Loop
- The While Loop
- Loop else Statement
- Nested Loops
- Break and Continue
- The Range Function
- Introduction to range()
- Types of range() function Use of range() function
MODULE 11:INTRODUCTION TO FUNCTIONS BUILT-IN FUNCTIONS
- Introduction to Functions
- Using a Functions
- Python Function Types
- Structure of Python Functions
- E.g. – map, zip, reduce, filter, any, chr, ord, sorted, globals, locals, all, etc.
USER DEFINED FUNCTIONS
- Structure of a Python Program w.r.t. UDF
- Types of Functions
- Invoking UDF
- Flow of Execution
- Arguments and Parameters
- Default Arguments, Named Arguments
- Scope of Variables
- Lambda function
MODULE 12:RECURSION FUNCTION
- Use of recursion function
MODULE 13:MODULES AND PACKAGES BUILT-IN MODULES
- Importing Modules in Python Programs
- Working with Random Modules
- E.g. built ins, OS, time, datetime, calendar, Twilio , smtp, pillow
DATA ANALYTICS MODULE 1:REVISITING PYTHON
- Revisiting Python
- List and dictionary
- comprehension
- Programming assignment
MODULE 2:INTRODUCTION TO DATA ANALYTICS
- Why Analytics?
- Traditional Data Management
- Types of Analytics
- Dimensions and measures
- Why learn Python for data analysis?
MODULE 3:LIBRARIES FOR DATA ANALYTICS
- Anaconda
- NumPy
- SciPy
- Pandas
- Matplotlib
- Seaborn
MODULE 4:STATISTICS
- Mean, Median, Mode Z-scores
- Bias -variance dichotomy
- Sampling and t-tests
- Sample vs Population statistics
- Random Variables
- Probability distribution function
- Expected value
- Binomial Distributions
- Normal Distributions
- Central limit Theorem
- Hypothesis testing
- Z-Stats vs T-stats
- Type 1 type 2 error
- Chi Square test
- ANOVA test and F-stats
MODULE 5:JUPYTER NOTEBOOK
- Create Documentation
- Code Mode
- Markdown Mode
- Heading Mode
MODULE 6:NUMPY
- Creating NumPy arrays
- Indexing and slicing in NumPy
- Downloading and parsing data
- Creating multidimensional arrays
- NumPy Data types
- Array tributes
- Indexing and Slicing
- Creating array views copies
- Manipulating array shapes 1/0
MODULE 7:SCIPY
- Introduction to SciPy
- Create function
- modules of SciPy
MODULE 8:PANDAS
- Using multilevel series
- Series and Data Frames
- Grouping, aggregating
- Merge Data Frames
- Generate summary tables
- Group data into logical pieces
- Manipulate dates
- Creating metrics for analysis
- Data wrangling
- Merging and joining
- Analytics Vidhya dataset- Loan Prediction Problem
- Data Mugging using Pandas
- Building a Predictive Model
MODULE 9:MATPLOTLIB
- Scatter plot
- Bar charts, histogram
- Stack charts
- Legend title Style
- Figures and subplots
- Plotting function in pandas
- Labelling and arranging figures
- Save plots
MODULE 10:SEABORN
- Style functions, Colour palettes
- Distribution and Categorical plots
- Regression plots
- Axis grid objects
MODULE 11:WEB SCRAPING
- Scraping Webpages
- Beautiful soup package
- Real time project
MODULE 12:INTRODUCTION TO ML
- What is ML? And Why ML?
- Introduction to Supervised ML
- Introduction to Unsupervised ML
- Mathematical Background for ML
- Matrix ops Probability Theory (Bayes’ Theorem) ML Glossary- Variable types, k-fold
- CV, AUC, F1 score, Overfitting/Underfitting
- Data split & hyper parameter
PROJECTS
- Real time projects
NOTE: PREREQUISITES:
- Python Programming
Mode/Schedule of Training:
CETPA, The Best Data Analytics Using Python Training Institute in Delhi NCR offers courses in following modes.| Delivery Mode | Location | Course Duration | Schedule (New Batch Starting) |
|---|---|---|---|
| Classroom Training (Regular/ Weekend Batch) | *Noida/ Lucknow *Dehradun /Roorkee | 4/6/12/24 weeks | New Batch Wednesday/ Saturday |
| *Instructor -Led Online Training | Online | 40/60 Hours | Every Saturday or as per the need |
| *Virtual Online Training | Online | 40/60 Hours | 24x7 Anytime |
| College Campus Training | India or Abroad | 40/60 Hours | As per Client’s need |
| Corporate Training (Fly a Trainer) | Training in India or Abroad | As per need | Customized Course Schedule |
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Data Analytics with python Course in Noida
I am searching a Data Analytics Training Company where i can enhance my Skills in Data Analytics. One of my friends told me about CETPA so i have gone there and join. One ofd the best Data Analytics Training Course in Noida where i have worked in real time projects to improve my skills.
Data Analytics with python Course in Noida
I am searching a Data Analytics Training Company where i can enhance my Skills in Data Analytics. One of my friends told me about CETPA so i have gone there and join. One ofd the best Data Analytics Training Course in Noida where i have worked in real time projects to improve my skills.
Course Features
- Lectures 0
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Students 0
- Assessments Yes
