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Data Science With Python Online Training

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  • Affordable Fees With the Best Curriculum by Industrial Data Science with Python Experts.
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Learn Our Resourceful Data Science With Python Course

  • Gain a strong foundation in Python programming, coupled with essential libraries like NumPy, Pandas, and Matplotlib.
  • Industry experts lead the course, providing valuable insights, mentorship, and fostering a supportive community.
  • Work with real-world datasets and solve practical data science problems, acquiring valuable hands-on skills for your data science journey.
  • Beyond Python basics, the course covers exploratory data analysis, statistical modeling, and predictive analytics, ensuring a deep understanding.
  • This Data Science with Python Course offers comprehensive data science training in Python, catering to beginners and those with prior Python experience.
  • Completion of this course enhances your career prospects by equipping you with highly sought-after data science skills, opening doors to exciting opportunities.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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Course Objectives

  • Versatility
  • High Demand
  • Open Source
  • Wide Applicability
  • Extensive Libraries
  • Programming knowledge in Python.
  • Cleansing and manipulation of data.
  • Statistical evaluation and testing of hypotheses.
  • Approaches for machine learning, such as grouping and regression.
  • Employing tools like Matplotlib and Seaborn for data visualization.
  • Hands-on Learning
  • Skill Acquisition
  • Career Advancement
  • Industry Relevance
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Business Analyst
  • Research Scientist

Numerous Data Science with Python courses contain hands-on projects and activities, Students can apply their knowledge to actual datasets and issues through these tasks, Practical application improves comprehension and creates a portfolio for employment applications.

  • NumPy
  • Pandas
  • Seaborn
  • Matplotlib
  • Scikit-Learn
  • Jupyter Notebook

Participants should normally be familiar with Python and have a fundamental understanding of programming concepts. Although not usually required, having a background in mathematics, statistics, or a similar discipline is advantageous.

Is Data Science with Python training a good choice for career?

Given the increased demand for data scientists and data analysts across numerous businesses, data science with Python training can be a great career choice. Python is a versatile language widely used in the field of data science due to its rich ecosystem of libraries and tools.

Who needs to study Data Science with Python?

  • Business analysts and domain experts.
  • Aspiring data scientists and analysts.
  • Current data professionals looking to upskill.
  • Anyone interested in data analysis and its applications.

What are the topics covered in Data Science with Python training?

  • Data Manipulation and Analysis
  • Statistical Analysis
  • Data Visualization
  • Machine Learning Model Building
  • Model Deployment and Evaluation
  • Big Data and Distributed Computing

Mention some learning materials provided in data science with Python training.

  • Study Guides
  • Interactive Videos
  • Official Documentation
  • Access to Software tools
  • Slides and Presentations
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An Comprehensive Overview of Data Science With Python

Data Science with Python is a dynamic and transformative field reshaping how we approach data analysis. Python, as a versatile and robust programming language, stands as the cornerstone for data scientists globally. Its extensive libraries and frameworks tailored for data analysis empower professionals to tackle intricate problems and glean profound insights from massive datasets. At the heart of Data Science with Python are key components like NumPy, Pandas, and Matplotlib. These libraries are indispensable for data manipulation, analysis, and visualization, offering straightforward functions to efficiently clean, preprocess, and analyze data, as well as craft meaningful visual representations.

 

Additional Info

Benefits of Pursuing Data Science With Python

  • Versatility: Python is a flexible programming language that may be used for a variety of data science tasks, including data cleaning and preprocessing as well as the creation and application of machine learning models.
  • Extensive Libraries: Python offers a rich ecosystem of libraries and frameworks, including NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow. These libraries and frameworks simplify data manipulation, analysis, visualization, and machine learning operations.
  • Community Support: Python has a sizable and vibrant data scientists and developer community that contributes to libraries, offers documentation, and provides support via forums and online communities.
  • Ease of Learning: Python is known for being easy to read and understand, making it accessible to both beginning and advanced programmers. For people beginning their careers in data science, learning Python is frequently the initial step.
  • Rapid Prototyping: Rapid prototyping is made possible by Python's simple syntax, which enables the building of data analysis and machine learning prototypes quickly. This speeds up experimentation and iterative model improvement.
  • Integration with Big Data: Python's seamless interface with big data frameworks like Apache Spark and Hadoop through modules like PySpark enables data scientists to study enormous, distributed datasets.
  • High Demand for Python Skills: Data scientists and analysts who are fluent in Python are in high demand, making Python one of the most sought-after programming languages on the job market.
  • Cross-Industry Applicability: Data science with Python has broad industry applicability, making it useful in a variety of fields including healthcare, finance, e-commerce, and more.

Tools Used in Data Science With Python

  • Python: Python is the main programming language for data science and has a large ecosystem of libraries for machine learning and data analysis.
  • NumPy: NumPy is a core library that supports arrays and matrices, making it possible to perform effective numerical and mathematical operations—a crucial part of manipulating data.
  • Pandas: Pandas is a robust data manipulation toolkit that provides data structures including DataFrames and Series, making it a go-to tool for jobs involving data cleansing, transformation, and analysis.
  • Matplotlib: A popular charting package, Matplotlib enables users to build a variety of data visualizations, which are crucial for showcasing trends and insights in data.
  • Seaborn: Seaborn, which is based on Matplotlib, makes it easier to create visually appealing and useful visualizations by streamlining the process of creating statistical visuals.
  • Scikit-learn: Scikit-learn is a comprehensive machine learning package that offers tools for model selection, regression, clustering, and classification.
  • TensorFlow and Keras: These well-liked deep learning frameworks allow for the creation and training of neural networks for challenging tasks like image recognition and natural language processing.

Future Scope of Data Science With Python

  • Increasing Demand: As businesses depend more on data-driven decision-making, there will be a greater need for data scientists and experts with Python knowledge.
  • Machine learning (ML) and artificial intelligence (AI): Python, with libraries like TensorFlow and PyTorch, will continue to be a key player in the development of Machine Learning and AI, encouraging research and development in areas including reinforcement learning, computer vision, and natural language processing.
  • Big Data: Python's integration with big data tools like Apache Spark puts it in a good position to handle and analyze large datasets, enabling data scientists to efficiently handle the expanding amount of data.
  • Automation and AI Ethics: As automation and AI grow more common, data scientists will be more required to create and execute moral AI solutions.
  • Automation and AI Ethics: As automation and AI grow more common, data scientists will be required to create and execute ethical AI solutions and algorithms that address issues with fairness, prejudice, and transparency.
  • Data Engineering: Python will continue to be important in data engineering, where experts create data architectures, construct data pipelines, and oversee data storage to guarantee the availability and quality of data.
  • IoT (Internet of Things): As IoT devices proliferate, Python will play a key role in processing and analyzing the data produced by these devices, enabling automation and more intelligent decision-making.
  • Healthcare and life sciences: Data science with Python will continue to promote research in healthcare, genomics, and personalized medicine, leading to advancements in the diagnosis and treatment of diseases.
  • Finance & Fintech: Python is already widely used in the financial sector and will play a bigger part in future developments in the fields of algorithmic trading, risk analysis, fraud detection, and financial modeling.
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Key Features

ACTE offers Data Science with Python Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Data Science With Python Online Training
Module 1: Introduction to Data Science and ML using Python
  • Overview of Python
  • The Companies using Python
  • Different Applications where Python is Used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the Screen
  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science
Module 2: Data Handling, Sequences and File Operations
  • Data Analysis Pipeline
  • What is Data Extraction?
  • Types of Data
  • Raw and Processed Data
  • Data Wrangling
  • Python files I/O Functions
  • Numbers
  • Strings and related operations
  • Tuples and related operations
  • Lists and related operations
  • Dictionaries and related operations
  • Sets and related operations
Module 3: Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions
  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values
  • Lambda Functions
  • Object Oriented Concepts
  • Standard Libraries
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways
  • Errors and Exception Handling
  • Handling Multiple Exceptions
Module 4: Introduction to NumPy, Pandas, and Matplotlib
  • Data Analysis
  • NumPy - arrays
  • Operations on arrays
  • Indexing, slicing, and iterating
  • Reading and writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
  • Metadata for imported Datasets
  • Matplotlib library
  • Grids, axes, plots
  • Markers, colors, fonts, and styling
  • Types of plots - bar graphs, pie charts, histograms Contour plots
Module 5: Exceptions Handling
  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception
Module 6: Data Manipulation
  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring and analyzing datasets
  • Analysing a dataset
Module 7: Introduction to Machine Learning with Python
  • What is Machine Learning?
  • Machine Learning Use-Cases
  • Machine Learning Process Flow
  • Machine Learning Categories
  • Linear regression
  • Gradient descent
Module 8: Supervised Learning - I
  • What are Classification and its use cases?
  • What is a Decision Tree?
  • Algorithm for Decision Tree Induction
  • Creating a Perfect Decision Tree
  • Confusion Matrix
  • What is Random Forest?
Module 9: Dimensionality Reduction
  • Introduction to Dimensionality
  • Why Dimensionality Reduction
  • PCA
  • Factor Analysis
  • Scaling dimensional model
  • LDA
Module 10: Association Rules Mining and Recommendation Systems
  • What are Association Rules?
  • Association Rule Parameters
  • Calculating Association Rule Parameters
  • Recommendation Engines
  • How do Recommendation Engines work?
  • Collaborative Filtering
  • Content-Based Filtering
Module 11: Reinforcement Learning
  • What is Reinforcement Learning?
  • Why Reinforcement Learning?
  • Elements of Reinforcement Learning
  • Exploration vs. Exploitation dilemma
  • Epsilon Greedy Algorithm
  • Markov Decision Process (MDP)
  • Q values and V values
  • Q – Learning
  • Values
Module 12: Time Series Analysis
  • What is Time Series Analysis?
  • Importance of TSA
  • Components of TSA
  • White Noise
  • AR model
  • MA model
  • ARMA model
  • ARIMA model
  • Stationarity
  • ACF & PACF
Module 13: Model Selection and Boosting
  • What is Model Selection?
  • Need for Model Selection
  • Cross Validation
  • What is Boosting?
  • How do Boosting Algorithms work?
  • Types of Boosting Algorithms
  • Adaptive Boosting
Module 14: Statistical Foundations
  • What is Exploratory Data Analysis?
  • EDA Techniques
  • EDA Classification
  • Univariate Non-graphical EDA
  • Univariate Graphical EDA
  • Multivariate Non-graphical EDA
  • Multivariate Graphical EDA
  • Heat Maps
Module 15: Database Integration with Python
  • Basics of database management
  • Python MySql
  • Create database
  • Create a table
  • Insert into table
  • Select query
  • Where clause
  • OrderBy clause
  • Delete query
  • Drop table
  • Update query
  • Limit clause
  • Join and Self-Join
  • MongoDB (Unstructured)
  • Insert_one query
  • Insert_many query
  • Update_one query
  • Update_many query
  • Create_index query
  • Drop_index query
  • Delete and drop collections
  • Limit query
Module 16: Data Connection and Visualization in Tableau
  • Data Visualization
  • Business Intelligence tools
  • VizQL Technology
  • Connect to data from the File
  • Connect to data from the Database
  • Basic Charts
  • Chart Operations
  • Combining Data
  • Calculations
Module 17: Advanced Visualizations
  • Trend lines
  • Reference lines
  • Forecasting
  • Clustering
  • Geographic Maps
  • Using charts effectively
  • Dashboards
  • Story Points
  • Visual best practices
  • Publish to Tableau Online
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Need customized curriculum?

Hands-on Real Time Data Science With Python Projects

Project 1
Predictive Modeling with Regression

A regression model is a tool used to predict a continuous target variable, such as stock prices or home values, based on one or more independent variables.

Project 2
Image Classification with Deep Learning

To categorize photos, develop a deep learning model (such as a convolutional neural network). For this project, you can use datasets like CIFAR-10 or MNIST.

Enhance Your Career With Python Data Science Jobs

In order to help students to find job opportunities for internships after completing the course, ACTE offers our Advanced Placement Assistance programme.

  • We provide Mock interviews, practice interviews designed to simulate real job interview scenarios.
  • This program provides placement assistance services to help students secure employment in the field of data science.
  • Successful Python Data Science Jobs accelerate career growth, offering exposure to cutting-edge projects and valuable mentorship.
  • The program partners with leading companies, providing opportunities for hands-on experience through placements and access to top professionals.
  • There are already more than 100 programming associations that are registered. HCL, Wipro, Dell, Accenture, Google, CTS, TCS, and IBM are a few examples.
  • Completing the program and securing placements gives candidates a significant advantage in the job market, thanks to their practical skills and industry exposure.

Get an Impactful Data Science With Python Certification

Anyone wishing to enhance their career in data analysis and data science will find the Data Science with Python Certification to be an extremely helpful credential. This certification is a great option for both newcomers and seasoned professionals due to its many advantages. First off, it adds value to your resume because it is well-known and regarded in the data science community. A wide range of data science topics are covered by the program's thorough curriculum, including Python programming, data processing, data visualization, machine learning, and more. This makes sure that you develop a broad range of skills that are very applicable in today's data-driven employment market.

  • Broad recognition in the field of data science, increasing your employability.
  • Emphasis on learning that is practical and hands-on through real-world initiatives.
  • Advantage in the employment market, particularly for positions like data scientist or analyst.
  • This certification program may take several months to finish on average.
  • Our Data Science with Python Certification course's length might vary significantly based on the student's background.
  • Microsoft Certified: Data Analyst Associate
  • Google Data Analytics Professional Certificate
  • Certified Analytics Professional (CAP)
  • IBM Data Science Professional Certificate

Indeed, obtaining a Data Science with Python Certification greatly improves both your qualifications and employability in the data science industry. Your talents, experience, and the particular job criteria are just a few of the factors to the job.

Anyone with a background in math, statistics, or computer science is welcome to enroll in these courses, although our programs are made to be accessible to beginners as well.


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Get Trained With Our Data Science With Python Trainers

  • Data Science With Python Trainers are seasoned experts in data science, providing valuable insights and guidance.
  • The trainers cater to individual learning needs, ensuring that each student can grasp the material at their own pace.
  • They excel at simplifying complex concepts, making data science accessible to both beginners and experienced professionals.
  • These trainers emphasize practical learning with real-world projects, helping learners apply Python for data analysis and machine learning.
  • Data Science With Python Online Training stay updated with the latest trends and technologies in data science and Python, offering cutting-edge insights.
  • Learning from these trainers provides a competitive advantage in the dynamic field of data science, equipping you with the skills needed to excel in your career.

Data Science with Python Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Vijaya

Data Analyst

If you're looking for an institute which teaches everything from the basics to the core, this ACTE is the right place for you. Highly efficient staff and management team. Great for Data Science with Python, Data analytics and Big data courses. And I am thankful to the team for their support and guidance. Highly recommended.

Sree Priya

Student

I have joined for Data Science with Python Online course at ACTE . Trained by Nivedita madam who is really good to teach basic and advanced concepts. The project based training was quite impactful and I learnt a lot. I strongly recommend this institute as they have best industry working trainees.

Vinoth

Software Engineer

Ive completed my Data Science with Python course from ACTE where Ive experienced a good faculty and teaching way in a knowledgable manner. I would suggest each and everyone who are aspiring for data scientists or data analytics to join in ACTE and gain good knowledge at the centre of city Velachery, Chennai.

Varalakshmi

One of the best place to learn Data Science with Python Course Training in Omr. Friendly Environment.Great course for the people who are looking for a better career.This course covers the Data Science with Python knowledge.

Nandhini

Student

ACTE is the best place to kick start Data Science with Python and other Data Science courses in Anna Nagar. Their guidence is good and at the same time providing better lab practice.Which helps you make informed predictions and assure you to move forward,Honestly, I would definitely recommend this place for Data Science with Python, Data Analytics using R,Big Data,Machine Learning,Business Analytics..

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Data Science with Python Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
ACTE
    • Gives
Certificate
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science with Python training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science with Python Course At ACTE?

  • Data Science with Python Course in ACTE is designed & conducted by Data Science with Python experts with 10+ years of experience in the Data Science with Python domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science with Python batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science with Python. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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