Data Analyst
Data Analyst Training
Our Data Analyst training in Chandigarh is the best opportunity for all the aspirants looking for a career in it. Data Analyst training will make you the best analyst of your career
Data analyst, as the name suggests is involved in the process of analyzing the raw data and converting it into meaningful information. Data analyst takes the charge in analyzing and collecting key points of data to make important decisions for the businesses.
Data Analyst Training-Benefits
- The companies gather information about their customers every day and use data analytics to draw informative conclusions about the masses.
- It helps them to find answers to burning questions, produce metrics, and reveal trends that wouldn’t even have an answer without the help of today’s sophisticated software analysis.
- The insights given by the data are then to improve the companies business operations
The demand for data analysts is growing at a faster pace with the continuous digitalization of this modern world. Studies say, almost 70% of U.S. employers will prefer the candidate with data analysis skills by 2021.
What will you learn;
- Get to learn accurate predictions and powerful analysis.
- Learn for personal use and add value to your business.
- Full guidance from industry trainers
- Work on live projects with us with the best of trainers.
SYLLABUS
Introduction to Data Science
- What is Data Science?
- What is Machine Learning?
- What is Deep Learning?
- What is AI?
- Data Analytics & it’s Types
Introduction to Python
- What is Python?
- Why Python?
- Installing Python
- Python IDEs
- Jupyter Notebook Overview
- Installing Jupyter Notebooks
- Python 2.7 vs Python 3
- Python 2.7 vs Python 3
- Various Operators and Operators Precedence
- Getting input from User, Comments, Multi line Comments.
Making Decisions and Loop Control
- Simple if Statement, if-else Statement
- if-elif Statement.
- Introduction to while Loops.
- Introduction to for Loops, Using continue and break
Matplotlib
- What Is Python Matplotlib?
- Line Plot
- Bar Graph
- Histogram
- Scatter Plot
- Pie Chart
- Working With Multiple Plots
Basics Of Web Development
- Html,Html5,Css and Css3
- javascript
- Client Side Vlidation using javascript
- Jquery
- Slider Creation using Javascript and Jquery
- Animations and moving Objects using Jquery
Importing data
- Reading CSV files
- Saving in Python data
- Loading Python data objects
- Writing data to csv file
Python Data Types: List, Tuples, And Dictionaries
- Python Lists, Tuples, Dictionaries
- Accessing Values
- Basic Operations
- Indexing, Slicing, and Matrixes
- Built-in Functions & Methods
- Exercises on List, Tuples And Dictionary
Manipulating Data
- Selecting rows/observations
- Rounding Number
- Selecting columns/fields
- Merging data
- Data aggregation
- Data munging techniques
Functions and Modules
- Introduction To Functions – Why
- Defining Functions
- Calling Functions
- Functions with Multiple Arguments.
- Anonymous Functions – Lambda
- Using Built-In Modules, User-Defined Modules, Module Namespaces, Iterators And Generators
File I/O and Exceptional Handling
- Opening and Closing Files
- open Function, file Object Attributes
- Close() Method , Read, write, seek. Exception handling, the try-finally Clause
- Raising an Exceptions, User-Defined Exceptions
- Regular Expression- Search and Replace
- Regular Expression Modifiers
- Regular Expression patterns, re module
Numpy
- NumPy – Introduction
- NumPy – Environment
- NumPy – Ndarray Object
- NumPy – Data Types
- NumPy – Array Attributes
- NumPy – Array Creation Routines
- NumPy – Array from Existing Data
- Numpy – Array From Numerical Ranges
- NumPy – Indexing & Slicing
- NumPy – Advanced Indexing
- NumPy – Broadcasting
- NumPy – Iterating Over Array
- NumPy – Array Manipulation
- NumPy – Binary Operators
- NumPy – String Functions
- NumPy – Mathematical Functions
- NumPy – Arithmetic Operations
- NumPy – Statistical Functions,Sort, Search & Counting Functions
- NumPy – Byte Swapping
- NumPy – Copies & Views
- NumPy – Matrix Library
- NumPy – Linear Algebra
Statistics Basics
- Central Tendency
- Mean
- Median
- Mode
- Skewness
- Normal Distribution
- Probability Basics
- What does mean by probability?
- Types of Probability
- ODDS Ratio?
- Standard Deviation
- Data deviation & distribution
- Variance
- Bias variance Trade off
- Underfitting
- Overfitting
- Distance metrics
- Euclidean Distance
- Manhattan Distance
- Outlier analysis
- What is an Outlier?
- Inter Quartile Range
- Box & whisker plot
- Upper Whisker
- Lower Whisker
- Scatter plot
- Cook’s Distance
- Missing Value treatments
- What is a NA?
- Central Imputation
- KNN imputation
- Dummification
- Correlation
- Pearson correlation
- Positive & Negative correlation
Pandas
- Pandas – Introduction
- Pandas – Environment Setup
- Pandas – Introduction to Data Structures
- Pandas – Series
- Pandas – DataFrame
- Pandas – Panel
- Pandas – Basic Functionality
- Pandas – Descriptive Statistics
- Pandas – Function Application
- Pandas – Reindexing
- Pandas – Iteration
- Pandas – Sorting
- Pandas – Working with Text Data
- Pandas – Options & Customization
- Pandas – Indexing & Selecting Data
- Pandas – Statistical Functions
- Pandas – Window Functions
- Pandas – Aggregations
- Pandas – Missing Data
- Pandas – GroupBy
- Pandas – Merging/Joining
- Pandas – Timedelta
- Pandas – Categorical Data
- Pandas – Visualization
- Pandas – IO Tools
- Pandas – Sparse Data
- Pandas – Caveats & Gotchas
- Pandas – Comparison with SQL
Error Metrics
- Classification
- Confusion Matrix
- Precision
- Recall
- Specificity
- Regression
- MSE
- RMSE
- MAPE
Why we
Pjc Infotech provides the best data analyst training in Chandigarh. We help our students with the best of knowledge and training for better growth in their field. Join our Data Analyst course in Chandigarh and make a great career with us.
