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Data Science with Python Training in San Jose

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Data Science with Python.
  • Best Practice for interview Preparation Techniques in Data Science with Python.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Data Science with Python Expert.
  • Delivered by 9+ years of Data Science with Python Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Data Science with Python Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches

01-Apr-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

27-Mar-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

30-Mar-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

30-Mar-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

Hear it from our Graduate

Learn at Home with ACTE

Online Courses by Certified Experts

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science with Python and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • IBM's Python Data Science Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: Data Science, Python, Python Basic Data types, Python Packages, Importing data, Manipulating Data, Statistics Basics, Machine Learning, Supervised Learning, Unsupervised Learning, Other Machine Learning algorithms.
  • START YOUR CAREER WITH DATA SCIENCE WITH PYTHON COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
  • 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

    Data Science is one of the most highly paid jobs. According to Glassdoor, Data scientists make an average of $116,100 per year. This makes Data Science a highly lucrative career option.
    Data Science With Python has a really good future. Data scientists and data science is always improving and change to a vast extent over the next ten years. We can clearly say that the Data Scientist will have a lot of scope in the future, and companies looking for data scientists will increase. The best job in the future you will get is data science jobs.
    R and Python are the two most popular programming languages used by data analysts and data scientists. Both are free and open-source - R for statistical analysis and Python as a general-purpose programming language. Knowing both R and Python will open doors for more job opportunities.
We are happy and proud to say that we have a strong relationship with over 700+ small, mid-sized, and MNCs. Many of these companies have openings for Data Science With Python. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
  • SciPy.
  • Pandas.
  • Matplotlib.
  • NumPy.
  • SciKit.
  • Seaborn.
    Before proceeding with this tutorial, you should have a basic knowledge of writing code in the Python programming language, using any python IDE, and execution of Python programs. If you are completely new to python then please refer to our Python tutorial to get a sound understanding of the language.
    Yes, If you have basic knowledge, you can learn it online but you need good practice, projects, and case studies. You can start learning R and Python. There are many free courses available to start with. Down the line when you learn this, you will understand how comfortable you are with learning programming.

Will I Be Given Sufficient Practical Training In Data Science With Python Certification?

    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.

Is it worth learning Data Science With Python?

    Learning Data Science With Python is worth it. Data science is a wave that is going to sustain for a long time. Unless, the new breed of engineers, graduates, and MBA are aware of it, they will be in deep trouble. I am giving a clarion call because I have seen the good and bad side of data technologies.

How long would it take to learn Data Science With Python Online Course in San Jose?

  • Python for data science course duration is short and within 2-3 months of pursuing this course, you can gain the confidence of making or attempting small projects.
  • There are a lot of estimates for the time it takes to learn Python. For data science specifically, estimates range from 3 months to a year of consistent practice.
  • Talking about how long it will be there in the market no one can actually answer it precisely. If you want to learn the SAP Training reach Creating experts ACTE provide you the real-time and advanced level training from experienced professionals.

Top reasons to consider a career in Data Science With Python Training?

    There is a shortage of data scientists at all levels from beginner, Freshers to manager levels. Since the IT industry is on the verge of change so many middle-level managers and professionals across domains are finding their career growth stagnant. Data science is the best option to overcome downturns of career stagnation. Annual pay hikes for Analytics professionals in India is on average 50% more than other IT professionals. Salary trends for Data science professionals across the globe indicate positive and exponential growth.
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Overview of Data Science with Python Training in San Jose

The Master of Data Science programme will teach you everything you need to know about Data Science, real-time analytics, statistical computing, SQL, machine-generated data parsing, and finally the domain of Deep Learning in Artificial Intelligence. In this programme, you will also learn how to use Big Data Analytics with Spark for Data Science. This programme was developed by industry experts and consists of ten courses and thirty industry-based projects.

This Data Science course, developed in collaboration with IBM, includes exclusive IBM hackathons, masterclasses, and Ask-me-anything sessions for the best training experience. This Data Science certification training provides hands-on exposure to key technologies such as R, Python, Machine Learning, Tableau, Hadoop, and Spark through live interaction with practitioners, practical labs, and industry projects.


Additional Info

Introduction:

IBM is positioned as a Leader in the 2021 Magic Quadrant for Data Science and Machine Learning. Students are introduced to integrated blended learning through collaboration with Simplilearn and IBM, preparing them to be experts in Artificial Intelligence and Data Science. This IBM-developed Data Science course will prepare students for careers in Artificial Intelligence and Data Science.

IBM is a leading provider of cognitive solutions and cloud platforms, as well as a wide range of technology and consulting services, headquartered in Armonk, New York. IBM invests $6 billion in research and development each year and has been awarded five Nobel Prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and ten inductions into the US Inventors Hall of Fame.


Who is eligible to begin Data Science Online Training:

    What can I expect from these IBM-created Data Science courses?

    After completing this Data Scientist online course, you will receive certificates from IBM (for IBM Data Science courses) and Simplilearn for the courses in the learning path. These certificates will attest to your Data Science expertise.

    You will also receive the following:

  • A masterclass is led by IBM experts.
  • Sessions with IBM executives where you can ask them anything.
  • Simplilearn Hackathons has awarded an IBM Industry-recognized Data Scientist Master's certificate.
  • What are the Learning Objectives?

  • Data scientist is one of the hottest jobs right now. The U.S. Bureau of Labor Statistics predicts a 28% increase in the number of data science jobs through 2026.
  • Data Science certification training from ACTE.
  • Collaboration with IBM resulted in the creation of this product.
  • Encourages you to become a statistician.
  • The testing of hypotheses.
  • Exploration of data.
  • Clustering.
  • Trees of decision.
  • Logistic and linear regression.
  • Data wrangling is a term used to describe the process of organizing and manipulating.
  • This Data Scientist course combines online instructor-led classes with self-paced learning developed in collaboration with IBM to provide comprehensive Data Science training.
  • This Data Science certification program concludes with a capstone project designed to reinforce learning by developing a real-world industry product that incorporates all of the key concepts covered throughout the program.
  • This course will help you prepare for the role of Data Scientist by emphasizing key skills.

Skills Involved in this Course:

  • Learn everything you can about data structure and manipulation.
  • Understand and use linear and nonlinear regression models, as well as classification techniques, to analyse data.
  • Discover supervised and unsupervised learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline.
  • To perform scientific and technical computing, use the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave. With the NumPy and Scikit-Learn packages, you can learn about mathematical computing.
  • Discover the various parts of the Hadoop ecosystem.
  • Learn about HBase, its architecture, and data storage, as well as the differences between HBase and RDBMS and how to partition data using Hive and Impala.
  • Learn about MapReduce and its characteristics, as well as how to use Sqoop and Flume to ingest data.
  • Learn about recommendation engines and time series modelling, as well as machine learning principles, algorithms, and applications.
  • Learn how to analyse data and create interactive dashboards with Tableau.

Responsibilities and Roles:

  • Data Scientist: Create high-quality applications in addition to designing and implementing scalable code.
  • Investigate reported data quality issues and devise solutions to correct them as an Analytics and Insights Analyst.
  • Engineer in Artificial Intelligence and Machine Learning: Use Lambda functions and API Gateway to deploy models in SageMaker and integrate Machine Learning models in web applications.
  • Data Engineers and Analysts: Understand the data, cleanse and transform it, analyse the results, and present the findings in reports and dashboards.
  • Junior Data Scientist: Use advanced statistical techniques and tools to understand operating behaviour and develop algorithms with advanced prescriptive and predictive capabilities.
  • Create various Machine Learning models to aid in the extraction of intelligence for business products as a scientist in practise.
  • Engineer for data.
  • Application Architect.
  • Infrastructure architect.
  • Enterprise Architect.
  • Data scientist.
  • Data analyst.
  • Data, Engineer.
  • Statistician.

Benefits of this Course:

    1. Remove the Extraneous and Focus on the Essentials:

  • Nobody expects a professional data scientist to create AI algorithms from scratch.
  • You also don't have to delve deeply into the (relatively) trivial history behind each algorithm, nor do you have to learn SVD (Singular Value Decomposition) or Gaussian Elimination on a real matrix without the help of a computer.
  • An academic degree encompasses so much information that is never applied on the job! Yes, you must understand the algorithms intuitively.
  • 2. Rather than PhD scientists, learn from instructors with real-world experience:

  • So, where should you go for training now? PhD academics who have never worked on a real professional project but have published widely, or instructors who have worked on real-life professional projects? Teachers and instructors in colleges and universities frequently fall into the former category, and you are extremely fortunate if your instructor has that invaluable component known as industry experience.
  • The latter are rare and difficult to find, and you are fortunate – even remarkable – to be studying with them.
  • 3. Utilizing the Most Recent Technology Stacks:

  • Who is more likely to get you a job: teachers who teach what they studied ten years ago or professionals who work with the industry's most up-to-date tools? It is undeniably true that industry experts can help you decide which technologies to learn and master.
  • Academics, on the other hand, may be using technology stacks that are over ten years old! Please try to choose instructors with previous work experience.
  • 4. Individual Concentration:

  • In a college or MOOC with thousands of students, individual attention cannot be provided to each student.
  • However, it is true that in data science programmes, each student will receive personalised attention tailored to their specific needs, which is exactly what you require.
  • Every student is unique, and they will each interpret the projects available in their own way.
  • The most significant advantage that such students have over college and MOOC students is the individualised attention that is available when batch sizes are less than 30 students.
  • 5. GitHub Project Portfolio Guidance:

  • Every college professor will advise you to create a GitHub project portfolio, but they will not be able to devote their full attention to your individual profile.
  • Because they have far too many students and demands on their time to devote to individual project portfolios and actually mentor you in designing and establishing your own project portfolio, they are unable to do so.
  • Data science programmes, on the other hand, are one-of-a-kind, and instructors can truly mentor you individually in designing your project portfolios.
  • 6. Mentoring even after you've been hired and are working on your own:

  • Because your domains will be so dissimilar, no college professor will be able, or even willing, to assist you once you are placed in the industry.
  • However, when industry professionals become instructors, the storey changes dramatically.
  • You can even go to them or contact them for guidance after placement, which most academic professors will be unable to do unless they also have industry experience, which is extremely rare.
  • 7. Requirements for Lower Costs:

  • It's one thing to be able to fund your own PhD doctoral studies.
  • It's another thing entirely to learn the same skills for less than 1% of the cost of a PhD in, say, the United States.
  • Not only is it less demanding financially, but you also don't have to worry about repaying massive student loans through industry work and large paychecks, which can often come at the expense of compromising your health or family needs.
  • 8. Significantly Reduced Time Needs:

  • A PhD usually takes 5 years to complete.
  • A data science programme can prepare you for a job in a matter of months.
  • Why don't you choose the best option for you? This is especially true if you already have job experience in another field or are between the ages of 23 and 25, as completing a full PhD programme could put you on the wrong side of 30 with almost no job experience.
  • Please apply for the data science programme because time spent working in your 20s is critical for most companies hiring today because they consider you to be a good "çultural fit" for the company environment, especially if you have less than 3-4 years experience.

Datab Science Certification Training Career Path:

A learning path is a series of courses related to a particular profession or career interest. The path you choose will be directly related to the skill sets required to succeed in your chosen field. The Data Science Learning Path focuses on mastering and developing data science skills. Many students are following this high-demand path in order to achieve their goal of becoming Data Scientists.

The well-structured module provides students with a comprehensive and valuable collection of resources that will benefit both professionals and those who are just starting out in the field. A student who is unfamiliar with Data Science or its learning path may become perplexed by the available options. This blog post is meant to help you understand the basics so that you can make an informed decision.


Industry Developments:

  • It is well known that there is a talent shortage in data science.
  • What's new is that automation tools have enabled anyone to contribute to AI development.
  • With GUI-based data science tools and AutoAI, analysts and subject matter experts can turn their ideas into models and prepare data much faster.
  • Beginners can quickly get up to speed.
  • These tools, when combined with open source packages, help developers become data science powerhouses.
  • This has reached a tipping point.
  • According to Gartner, the primary AI implementers in the next two to five years will be application developers and software engineers.
  • Artificial intelligence and data science are not cheap.
  • You must implement solutions, maintain data, transfer data, and invest in hardware.
  • It can be prohibitively expensive to train data scientists and deliver AI and data science models.
  • IBM Cloud Pak for Data can help you save money on these and other expenses.
  • Based on a Red Hat® OpenShift® foundation, it enables you to save up to 70% on operational costs for data access, achieve container management efficiencies of up to USD 14.4 million, and save up to USD 1.2–3.4 million on other costs.
  • 3 It saves money to have a governed, curated library of open source packages available without having to build from scratch.
  • As a result, you should not be dependent on a single cloud vendor. This adds unnecessary risk.
  • IBM Cloud Pak for Data can be used to build your own hybrid multicloud strategy.
  • With IBM Cloud Pak for Data, you can also use data and AI services from a broader ecosystem, including those from open source communities.
  • Rather than relying on specific tools or skills, you can make investments that are proportional to the needs of your company.
  • Leaders in the industry are demonstrating the value of combining open source and proprietary tools to automate, predict, and optimise.
  • These features enable you to optimise workforce scheduling, develop supply and demand plans based on what-if analysis against millions of variables, and allocate resources when demand spikes.
  • You can meet these challenges more easily than ever before if you have the right data platform.
  • In addition, by combining IBM Cloud Pak for Data and IBM Watson Studio, you can use out-of-the-box industry accelerators and decision optimization to transform your ideas into business-ready results.
  • They're using AI to predict and another tool, decision optimization, to tell them what to do with those predictions.
  • When planning inventory, allocating resources, or scheduling talent, prediction and optimization in a data and AI platform can help you reduce errors and accelerate time to value.
  • A paper manufacturer, for example, saved USD 50 million in excess inventory and waste by predicting demand and prioritising orders.
  • IBM Watson Studio includes prediction and optimization capabilities. It has a number of advantages when combined with an open source data science platform in a multicloud AI platform.

Payscale:

1. Data analytics is widely regarded as one of the highest-paying jobs in the country.

2. According to recent industry studies, the average annual salary for Data Analytics professionals in India is Rs. 12 lakh.

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Key Features

ACTE San Jose 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 Course in San Jose
Module 1: Introduction to Data Science
  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types
Module 2: Introduction to Python
  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview
Module 3: Python Basics
  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels
Module 4: Python Packages
  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library
Module 5: Importing data
  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file
Module 6: Manipulating Data
  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques
Module 7: 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
  • catter plot
  • Cook’s Distance
  • Missing Value treatments
  • What is a NA?
  • Central Imputation
  • KNN imputation
  • Dummification
  • Correlation
  • Pearson correlation
  • Positive & Negative correlation
  • Error Metrics
  • Classification
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Regression
  • MSE
  • RMSE
  • MAPE
Module 8: Machine Learning Module 9: Supervised Learning
  • Linear Regression
  • Linear Equation
  • Slope<
  • Intercept
  • R square value
  • Logistic regression
  • ODDS ratio
  • Probability of success
  • Probability of failure
  • ROC curve
  • Bias Variance Tradeoff
Module 10: Unsupervised Learning
  • K-Means
  • K-Means ++
  • Hierarchical Clustering
Module 11: Other Machine Learning algorithms
  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest
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Hands-on Real Time Data Science with Python Projects

Project 1
All State Insurance Purchase Prediction

Predict the car insurance policy a customer buys after receiving a number of quotes.

Project 2
Barclays

This Project is use to identify credit risk and fraud detection.

Our Top Hiring Partner for Placements

ACTE San Jose offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Data Science with Python training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Data Science with Python Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By Oracle & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Experienced Data Science with Python Trainer

  • Our Data Science with Python Training in San Jose. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Data Science with Python domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science with Python training to the students.
  • We have received various prestigious awards for Data Science with Python Training in San Jose from recognized IT organizations.

Data Science with Python Course Reviews

Our ACTE San Jose 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.

Mageseh

Student

The learning experience here at ACTE has been one of the best experiences of my life. I would definitely recommend this place to any fresher who wants to take up a career in Data Analytics or learn to code in Python in ACTE Institute in Porur.

Vinoth

Software Engineer

I have 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, San Jose.

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: +9193833 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 93833 99991 / 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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